LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 153

Search options

  1. Article ; Online: Trios Lidisi Veneer, Transforming Smiles Using an Intraoral Scanner - A Case Report.

    Pandey, Laxmi / Bhatt, Akanksha / Samant, Praveen Singh / Singh, Jaya

    Indian journal of dental research : official publication of Indian Society for Dental Research

    2024  Volume 34, Issue 4, Page(s) 461–463

    Abstract: Introduction: The need to perform restorations with a natural appearance is one of the most challenging aspects of dentistry, and reproducing the colour of natural teeth in restorations is a clinical challenge due to the complex optical characteristics ... ...

    Abstract Introduction: The need to perform restorations with a natural appearance is one of the most challenging aspects of dentistry, and reproducing the colour of natural teeth in restorations is a clinical challenge due to the complex optical characteristics of dentition. Various procedures have been advocated in the literature to correct dental anomalies, particularly in the aesthetic region, such as tooth discoloration due to fluorosis or dentition spacing due to changes in tooth shape, such as peg laterals.
    Clinical applications: Veneer are one of the most commonly used treatment modalities in such cases. As the use of ceramics necessitates the use of more opaque restorative materials or different thickness, obtaining adequate results in terms of the final colour of the restoration becomes increasingly difficult. The purpose of this study is to present a clinical case of smile rehabilitation in the anterior region with facets made of lithium disilicate, with the goal of achieving colour uniformity and demonstrating the benefits and achieving smile aesthetics.
    Takeaway lessons: Technological advancement such as intraoral scanner for impression making have significant improved the success of prosthesis. This case report presents conservative and aesthetic procedure in the management of closing the space in maxillary anterior region using lithium disilicate laminate veneers with trios software.
    MeSH term(s) Humans ; Dental Veneers ; Esthetics, Dental ; Dental Porcelain ; Smiling ; Female ; Adult ; Dental Prosthesis Design ; Computer-Aided Design
    Chemical Substances Dental Porcelain (12001-21-7) ; lithia disilicate
    Language English
    Publishing date 2024-04-19
    Publishing country India
    Document type Case Reports ; Journal Article
    ZDB-ID 1354886-4
    ISSN 1998-3603 ; 0970-9290
    ISSN (online) 1998-3603
    ISSN 0970-9290
    DOI 10.4103/ijdr.ijdr_430_23
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Book ; Online: Neuro-Symbolic Sudoku Solver

    Hathidara, Ashutosh / Pandey, Lalit

    2023  

    Abstract: Deep Neural Networks have achieved great success in some of the complex tasks that humans can do with ease. These include image recognition/classification, natural language processing, game playing etc. However, modern Neural Networks fail or perform ... ...

    Abstract Deep Neural Networks have achieved great success in some of the complex tasks that humans can do with ease. These include image recognition/classification, natural language processing, game playing etc. However, modern Neural Networks fail or perform poorly when trained on tasks that can be solved easily using backtracking and traditional algorithms. Therefore, we use the architecture of the Neuro Logic Machine (NLM) and extend its functionality to solve a 9X9 game of Sudoku. To expand the application of NLMs, we generate a random grid of cells from a dataset of solved games and assign up to 10 new empty cells. The goal of the game is then to find a target value ranging from 1 to 9 and fill in the remaining empty cells while maintaining a valid configuration. In our study, we showcase an NLM which is capable of obtaining 100% accuracy for solving a Sudoku with empty cells ranging from 3 to 10. The purpose of this study is to demonstrate that NLMs can also be used for solving complex problems and games like Sudoku. We also analyze the behaviour of NLMs with a backtracking algorithm by comparing the convergence time using a graph plot on the same problem. With this study we show that Neural Logic Machines can be trained on the tasks that traditional Deep Learning architectures fail using Reinforcement Learning. We also aim to propose the importance of symbolic learning in explaining the systematicity in the hybrid model of NLMs.

    Comment: Published as a conference paper at KDD KiML 2023
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Computer Science and Game Theory
    Subject code 006
    Publishing date 2023-07-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  3. Article ; Online: COVID-19, steroids, and mucormycosis: What an ophthalmologist should know.

    Tandon, Abhishek / Pandey, Latika

    Indian journal of ophthalmology

    2021  Volume 69, Issue 7, Page(s) 1970

    MeSH term(s) COVID-19 ; Humans ; Mucormycosis/diagnosis ; Mucormycosis/drug therapy ; Ophthalmologists ; SARS-CoV-2 ; Steroids
    Chemical Substances Steroids
    Language English
    Publishing date 2021-06-11
    Publishing country India
    Document type Letter
    ZDB-ID 187392-1
    ISSN 1998-3689 ; 0301-4738
    ISSN (online) 1998-3689
    ISSN 0301-4738
    DOI 10.4103/ijo.IJO_1143_21
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Integration of biosorption and biodegradation in a fed-batch mode for the enhanced crude oil remediation.

    Sharma, S / Pandey, L M

    Letters in applied microbiology

    2021  Volume 73, Issue 4, Page(s) 471–476

    Abstract: Microbial bioremediation of oil-contaminated sites is still a challenge due to the slower rate and susceptibility of microbes to a higher concentration of oil. The poor bioavailability, hydrophobicity, and non-polar nature of oil slow down microbial ... ...

    Abstract Microbial bioremediation of oil-contaminated sites is still a challenge due to the slower rate and susceptibility of microbes to a higher concentration of oil. The poor bioavailability, hydrophobicity, and non-polar nature of oil slow down microbial biodegradation. In this study, biodegradation of crude oil is performed in fed-batch mode using an oil-degrader Pseudomonas aeruginosa to address the issue of substrate toxicity. The slower biodegradation was integrated with faster biosorption for effective oil remediation. Highly fibrous and porous sugarcane bagasse was surface modified with hydrophobic octyl groups to improve the surface-oil interactions. The microbe showed 2 folds enhanced oil degradation in the fed-batch study, which was further increased by 1·5 folds in the integrated biosorption coupled biodegradation approach. The biosorption-assisted biodegradation approach supported the microbial growth to 2 folds higher than the fed-batch study without biosorbent. The analysis of biosurfactant production indicated the 3 folds higher concentration in fed-batch modes as compared to batch study. In the integrated strategy, the concentration of contaminant (oil) reduces to quite a tolerable level to microbes, which improved effective metabolism and thus overall biodegradation. This study puts forward a promising strategy for improved degradation of hazardous hydrophobic contaminants in a sustainable, economic and eco-friendly manner.
    MeSH term(s) Biodegradation, Environmental ; Petroleum ; Pseudomonas aeruginosa ; Surface-Active Agents
    Chemical Substances Petroleum ; Surface-Active Agents
    Language English
    Publishing date 2021-07-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 632584-1
    ISSN 1472-765X ; 0266-8254
    ISSN (online) 1472-765X
    ISSN 0266-8254
    DOI 10.1111/lam.13535
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: Integration of biosorption and biodegradation in a fed‐batch mode for the enhanced crude oil remediation

    Sharma, S. / Pandey, L.M.

    Letters in applied microbiology. 2021 Oct., v. 73, no. 4

    2021  

    Abstract: Microbial bioremediation of oil‐contaminated sites is still a challenge due to the slower rate and susceptibility of microbes to a higher concentration of oil. The poor bioavailability, hydrophobicity, and non‐polar nature of oil slow down microbial ... ...

    Abstract Microbial bioremediation of oil‐contaminated sites is still a challenge due to the slower rate and susceptibility of microbes to a higher concentration of oil. The poor bioavailability, hydrophobicity, and non‐polar nature of oil slow down microbial biodegradation. In this study, biodegradation of crude oil is performed in fed‐batch mode using an oil‐degrader Pseudomonas aeruginosa to address the issue of substrate toxicity. The slower biodegradation was integrated with faster biosorption for effective oil remediation. Highly fibrous and porous sugarcane bagasse was surface modified with hydrophobic octyl groups to improve the surface‐oil interactions. The microbe showed 2 folds enhanced oil degradation in the fed‐batch study, which was further increased by 1·5 folds in the integrated biosorption coupled biodegradation approach. The biosorption‐assisted biodegradation approach supported the microbial growth to 2 folds higher than the fed‐batch study without biosorbent. The analysis of biosurfactant production indicated the 3 folds higher concentration in fed‐batch modes as compared to batch study. In the integrated strategy, the concentration of contaminant (oil) reduces to quite a tolerable level to microbes, which improved effective metabolism and thus overall biodegradation. This study puts forward a promising strategy for improved degradation of hazardous hydrophobic contaminants in a sustainable, economic and eco‐friendly manner.
    Keywords Pseudomonas aeruginosa ; bioavailability ; biodegradation ; biosorbents ; biosorption ; biosurfactants ; hydrophobicity ; metabolism ; microbial bioremediation ; microbial growth ; oils ; petroleum ; sugarcane bagasse ; toxicity
    Language English
    Dates of publication 2021-10
    Size p. 471-476.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 632584-1
    ISSN 1472-765X ; 0266-8254
    ISSN (online) 1472-765X
    ISSN 0266-8254
    DOI 10.1111/lam.13535
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  6. Book ; Online: Are Vision Transformers More Data Hungry Than Newborn Visual Systems?

    Pandey, Lalit / Wood, Samantha M. W. / Wood, Justin N.

    2023  

    Abstract: Vision transformers (ViTs) are top performing models on many computer vision benchmarks and can accurately predict human behavior on object recognition tasks. However, researchers question the value of using ViTs as models of biological learning because ... ...

    Abstract Vision transformers (ViTs) are top performing models on many computer vision benchmarks and can accurately predict human behavior on object recognition tasks. However, researchers question the value of using ViTs as models of biological learning because ViTs are thought to be more data hungry than brains, with ViTs requiring more training data to reach similar levels of performance. To test this assumption, we directly compared the learning abilities of ViTs and animals, by performing parallel controlled rearing experiments on ViTs and newborn chicks. We first raised chicks in impoverished visual environments containing a single object, then simulated the training data available in those environments by building virtual animal chambers in a video game engine. We recorded the first-person images acquired by agents moving through the virtual chambers and used those images to train self supervised ViTs that leverage time as a teaching signal, akin to biological visual systems. When ViTs were trained through the eyes of newborn chicks, the ViTs solved the same view invariant object recognition tasks as the chicks. Thus, ViTs were not more data hungry than newborn visual systems: both learned view invariant object representations in impoverished visual environments. The flexible and generic attention based learning mechanism in ViTs combined with the embodied data streams available to newborn animals appears sufficient to drive the development of animal-like object recognition.

    Comment: Accepted in Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Computer Science - Neural and Evolutionary Computing
    Subject code 004
    Publishing date 2023-12-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  7. Article ; Online: Effects of Price Increase and Wage Rise on Resource Diversification in Agriculture

    Pandey, L

    2012  

    Abstract: A price increase and improvement in the terms of trade of agriculture after 2004-05 have revived agriculture in Uttar Pradesh. The performance, however, has varied across regions within the state and among crop groups. Price policies in favour of cereals ...

    Abstract A price increase and improvement in the terms of trade of agriculture after 2004-05 have revived agriculture in Uttar Pradesh. The performance, however, has varied across regions within the state and among crop groups. Price policies in favour of cereals discourage land diversification, but rising agricultural wages induce shifts in favour of high-value crops. The growth momentum has to be sustained by price reforms and by promoting a set of non-price factors that encourages resource diversification towards high-value crops
    Keywords Agriculture-Farming ; Production ; Technology ; Economics
    Language English
    Publisher Economic and Political Weekly
    Publishing country in
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  8. Article ; Online: Effects of Price Increase and Wage Rise on Resource Diversification in Agriculture

    Pandey, L

    2012  

    Abstract: A price increase and improvement in the terms of trade of agriculture after 2004-05 have revived agriculture in Uttar Pradesh. The performance, however, has varied across regions within the state and among crop groups. Price policies in favour of cereals ...

    Abstract A price increase and improvement in the terms of trade of agriculture after 2004-05 have revived agriculture in Uttar Pradesh. The performance, however, has varied across regions within the state and among crop groups. Price policies in favour of cereals discourage land diversification, but rising agricultural wages induce shifts in favour of high-value crops. The growth momentum has to be sustained by price reforms and by promoting a set of non-price factors that encourages resource diversification towards high-value crops
    Keywords Agriculture-Farming ; Production ; Technology ; Economics
    Language English
    Publisher Economic and Political Weekly
    Publishing country in
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  9. Book ; Online: Silent Speech and Emotion Recognition from Vocal Tract Shape Dynamics in Real-Time MRI

    Pandey, Laxmi / Arif, Ahmed Sabbir

    2021  

    Abstract: Speech sounds of spoken language are obtained by varying configuration of the articulators surrounding the vocal tract. They contain abundant information that can be utilized to better understand the underlying mechanism of human speech production. We ... ...

    Abstract Speech sounds of spoken language are obtained by varying configuration of the articulators surrounding the vocal tract. They contain abundant information that can be utilized to better understand the underlying mechanism of human speech production. We propose a novel deep neural network-based learning framework that understands acoustic information in the variable-length sequence of vocal tract shaping during speech production, captured by real-time magnetic resonance imaging (rtMRI), and translate it into text. The proposed framework comprises of spatiotemporal convolutions, a recurrent network, and the connectionist temporal classification loss, trained entirely end-to-end. On the USC-TIMIT corpus, the model achieved a 40.6% PER at sentence-level, much better compared to the existing models. To the best of our knowledge, this is the first study that demonstrates the recognition of entire spoken sentence based on an individual's articulatory motions captured by rtMRI video. We also performed an analysis of variations in the geometry of articulation in each sub-regions of the vocal tract (i.e., pharyngeal, velar and dorsal, hard palate, labial constriction region) with respect to different emotions and genders. Results suggest that each sub-regions distortion is affected by both emotion and gender.

    Comment: 8 pages
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Human-Computer Interaction ; Computer Science - Machine Learning ; Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing ; I.4.9 ; I.2.10
    Subject code 410
    Publishing date 2021-06-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  10. Article ; Online: Digital eye strain among medical students associated with shifting to e-learning during COVID-19 pandemic: An online survey.

    Bhatnagar, Kavita R / Dixit, Shilpi G / Pandey, Latika / Prakash, Sujeet / Shiromani, Sakshi / Singh, Kuldeep

    Indian journal of ophthalmology

    2023  Volume 72, Issue 1, Page(s) 98–104

    Abstract: Purpose: This study aimed to determine the prevalence, risk factors, symptoms, and awareness of computer vision syndrome (CVS) among medical students during the coronavirus disease 2019 (COVID-19) pandemic.: Methods: A cross-sectional observational ... ...

    Abstract Purpose: This study aimed to determine the prevalence, risk factors, symptoms, and awareness of computer vision syndrome (CVS) among medical students during the coronavirus disease 2019 (COVID-19) pandemic.
    Methods: A cross-sectional observational study was conducted among 283 undergraduate medical students at a tertiary healthcare center. An electronic survey was conducted to collect the data. Data were analyzed using Statistical Package for Social Sciences (SPSS version 23). The Chi-square test (Fisher's exact test when required) was used to study the significance of associations. A P value <0.05 was considered statistically significant.
    Results: A high prevalence of CVS was observed in which 92% reported at least one symptom while using a digital device, the most frequent being eye strain (49%). Among extraocular complaints, joint pain in the wrist and fingers was most frequent. Significant association (P < 0.05) of CVS was found with increased duration of digital device usage, refractive error, use of glasses or contact lens, preexisting dry eye disease, and use of topical eye drops. 37% of the participants were aware of the 20-20-20 rule, while only 11% followed it.
    Conclusion: CVS is a common health concern among medical students. Hence, to increase the productivity of work, significant risk factors need to be addressed and awareness must be raised.
    MeSH term(s) Humans ; Pandemics ; Students, Medical ; Computer-Assisted Instruction ; Cross-Sectional Studies ; COVID-19/epidemiology ; Asthenopia
    Language English
    Publishing date 2023-12-22
    Publishing country India
    Document type Observational Study ; Journal Article
    ZDB-ID 187392-1
    ISSN 1998-3689 ; 0301-4738
    ISSN (online) 1998-3689
    ISSN 0301-4738
    DOI 10.4103/IJO.IJO_492_23
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top