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  1. Article ; Online: Investigation of vacuum-integrated switchable polymer dispersed liquid crystal glazing for smart window application for less energy-hungry building

    Ghosh, Aritra

    Energy. 2023 Feb., v. 265 p.126396-

    2023  

    Abstract: The presence of more than one transparency and controllable intermediate transmission between ON and OFF states make the switchable smart glazing more attractive for less energy-hungry building integration than a static transparent window. However, to ... ...

    Abstract The presence of more than one transparency and controllable intermediate transmission between ON and OFF states make the switchable smart glazing more attractive for less energy-hungry building integration than a static transparent window. However, to enable this switchable glazing for cold climatic buildings, overall heat transfer through the glazing needs to be reduced. In this work, the thermal and optical performance of integrated polymer dispersed liquid crystal and low heat loss transparent vacuum glazing was investigated using indoor characterisation. Two systems were developed where PDLC glazing was sandwiched between a vacuum and one acrylic sheet (Vacuum-PDLCA) and vacuum and glass (Vacuum-PDLCG). The employment of acrylic sheets reduced 21% of the overall weight of the system which made it suitable for retrofit building integration. Use of acrylic reduced 35% of solar transmission of PDLC ON state compared to the use of glass. Overall heat transfer coefficient (U-value) or thermal transmittance was below 1.1 W/m²K for all Vacuum -PDLCG and Vacuum-PDLCA ON and OFF states. Solar heat gain coefficient or solar energy transmittance was highest at 0.45 for the Vacuum-PDLCG ON state and lowest at 0.23 for the Vacuum-PDLCA OFF state.
    Keywords cold ; energy ; glass ; heat transfer ; heat transfer coefficient ; liquid crystals ; polymers ; solar energy ; transmittance ; Vacuum ; Glazing ; Solar factor ; Angular transmission ; PDLC ; U-value ; Smart window
    Language English
    Dates of publication 2023-02
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2022.126396
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Potential of building integrated and attached/applied photovoltaic (BIPV/BAPV) for adaptive less energy-hungry building’s skin: A comprehensive review

    Ghosh, Aritra

    Journal of cleaner production. 2020 Dec. 10, v. 276

    2020  

    Abstract: The inclusion of photovoltaic (PV) technologies add extra functionalities in a building by replacing the conventional structural material and harnessing benign electricity aesthetically from PV. Building integration (BI) and building attached/applied (BA) ...

    Abstract The inclusion of photovoltaic (PV) technologies add extra functionalities in a building by replacing the conventional structural material and harnessing benign electricity aesthetically from PV. Building integration (BI) and building attached/applied (BA) are the two techniques to include PV in a building. Currently, first, and second-generation PV technologies are already included for BIPV and BAPV application in the form of wall, roof, and window whereas third generation PVs are under rigours exploration to find their potential suitability. To alleviate enhanced temperature from both BIPV and BAPV, active and passive cooling can be introduced, however passive techniques are influential in trimming down the temperature for retrofit building. Shading from snow, dust cover and nearby building can be an obstacle for BIPV/BAPV application. The hydrophobic (icephobic) self-cleaning coating is suited for snow covering PV while hydrophobic and hydrophilic are both applicable for anti-soiling. Electric vehicles, autonomous switchable glazing, low heat loss glazing and lightweight BIPV are the different future application for PV in BI and BA integration.
    Keywords cooling ; dust ; electric vehicles ; electricity ; heat ; hydrophilicity ; hydrophobicity ; methodology ; shade ; snow ; temperature
    Language English
    Dates of publication 2020-1210
    Publishing place Elsevier Ltd
    Document type Article
    Note NAL-light
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2020.123343
    Database NAL-Catalogue (AGRICOLA)

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  3. Article: Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability.

    Chen, Zhendong / Ghosh, Aritra / Lopez, Neil Stephen A

    Heliyon

    2023  Volume 9, Issue 10, Page(s) e20836

    Abstract: The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the charging demand. Standalone charging stations are a potential ...

    Abstract The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the charging demand. Standalone charging stations are a potential solution to alleviate the grid challenges of increased charging demand. In this work, the authors investigate a reliability analysis of a 2 MW standalone photovoltaic electric vehicle charging station (PVEVCS) using the loss of power supply probability(LPSP). The PVEVCS model consists of a PV system, a battery energy storage system (BESS) and a CS, using the climate data from Camborne, UK and classifying it into high and low irradiation sections. Next, four different charging demand profiles are selected to examine the models' LPSP. Later, the chosen charging demand profiles are optimised using various combinations of PV systems, BESS and CS. It is concluded that the different solar irradiation had a significant effect on the LPSP. Under the same combination, higher PV capacity has a more positive impact on reducing daytime LPSP, higher BESS capacity has a more significant effect on lowering nighttime LPSP and larger CS capacity has a more significant impact on declining hourly LPSP.
    Language English
    Publishing date 2023-10-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e20836
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Novel molecular materials and devices from functional soft matter.

    Praveen, P Lakshmi / Guzmann, Orlando / Ghosh, Aritra

    The European physical journal. E, Soft matter

    2023  Volume 46, Issue 11, Page(s) 104

    Language English
    Publishing date 2023-11-02
    Publishing country France
    Document type Editorial
    ZDB-ID 2004003-9
    ISSN 1292-895X ; 1292-8941
    ISSN (online) 1292-895X
    ISSN 1292-8941
    DOI 10.1140/epje/s10189-023-00370-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Epigenetic reprogramming of T cells: unlocking new avenues for cancer immunotherapy.

    Singh, Vipin / Nandi, Sandhik / Ghosh, Aritra / Adhikary, Santanu / Mukherjee, Shravanti / Roy, Siddhartha / Das, Chandrima

    Cancer metastasis reviews

    2024  Volume 43, Issue 1, Page(s) 175–195

    Abstract: T cells, a key component of cancer immunotherapy, undergo a variety of histone modifications and DNA methylation changes since their bone marrow progenitor stages before developing into ... ...

    Abstract T cells, a key component of cancer immunotherapy, undergo a variety of histone modifications and DNA methylation changes since their bone marrow progenitor stages before developing into CD8
    MeSH term(s) Humans ; Epigenesis, Genetic ; Immunotherapy ; Neoplasms/genetics ; Neoplasms/therapy ; T-Lymphocytes, Regulatory ; DNA Methylation ; Tumor Microenvironment/genetics
    Language English
    Publishing date 2024-01-18
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 604857-2
    ISSN 1573-7233 ; 0167-7659
    ISSN (online) 1573-7233
    ISSN 0167-7659
    DOI 10.1007/s10555-024-10167-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Lnc-ing epigenetic mechanisms with autophagy and cancer drug resistance.

    Nandi, Sandhik / Mondal, Atanu / Ghosh, Aritra / Mukherjee, Shravanti / Das, Chandrima

    Advances in cancer research

    2023  Volume 160, Page(s) 133–203

    Abstract: Long noncoding RNAs (lncRNAs) comprise a diverse class of RNA molecules that regulate various physiological processes and have been reported to be involved in several human pathologies ranging from neurodegenerative disease to cancer. Therapeutic ... ...

    Abstract Long noncoding RNAs (lncRNAs) comprise a diverse class of RNA molecules that regulate various physiological processes and have been reported to be involved in several human pathologies ranging from neurodegenerative disease to cancer. Therapeutic resistance is a major hurdle for cancer treatment. Over the past decade, several studies has emerged on the role of lncRNAs in cancer drug resistance and many trials have been conducted employing them. LncRNAs also regulate different cell death pathways thereby maintaining a fine balance of cell survival and death. Autophagy is a complex cell-killing mechanism that has both cytoprotective and cytotoxic roles. Similarly, autophagy can lead to the induction of both chemosensitization and chemoresistance in cancer cells upon therapeutic intervention. Recently the role of lncRNAs in the regulation of autophagy has also surfaced. Thus, lncRNAs can be used in cancer therapeutics to alleviate the challenges of chemoresistance by targeting the autophagosomal axis. In this chapter, we discuss about the role of lncRNAs in autophagy-mediated cancer drug resistance and its implication in targeted cancer therapy.
    MeSH term(s) Humans ; Drug Resistance, Neoplasm/genetics ; Neurodegenerative Diseases ; RNA, Long Noncoding/genetics ; Autophagy ; Epigenesis, Genetic ; Neoplasms/drug therapy ; Neoplasms/genetics
    Chemical Substances RNA, Long Noncoding
    Language English
    Publishing date 2023-04-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127-2
    ISSN 2162-5557 ; 0065-230X
    ISSN (online) 2162-5557
    ISSN 0065-230X
    DOI 10.1016/bs.acr.2023.03.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Comparative Analysis of LiMPO

    Kanungo, Sayan / Bhattacharjee, Ankur / Bahadursha, Naresh / Ghosh, Aritra

    Nanomaterials (Basel, Switzerland)

    2022  Volume 12, Issue 19

    Abstract: The rapidly increasing demand for energy storage has been consistently driving the exploration of different materials for Li-ion batteries, where the olivine lithium-metal phosphates ( ... ...

    Abstract The rapidly increasing demand for energy storage has been consistently driving the exploration of different materials for Li-ion batteries, where the olivine lithium-metal phosphates (LiMPO
    Language English
    Publishing date 2022-09-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano12193266
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: BOBCAT

    Ghosh, Aritra / Lan, Andrew

    Bilevel Optimization-Based Computerized Adaptive Testing

    2021  

    Abstract: Computerized adaptive testing (CAT) refers to a form of tests that are personalized to every student/test taker. CAT methods adaptively select the next most informative question/item for each student given their responses to previous questions, ... ...

    Abstract Computerized adaptive testing (CAT) refers to a form of tests that are personalized to every student/test taker. CAT methods adaptively select the next most informative question/item for each student given their responses to previous questions, effectively reducing test length. Existing CAT methods use item response theory (IRT) models to relate student ability to their responses to questions and static question selection algorithms designed to reduce the ability estimation error as quickly as possible; therefore, these algorithms cannot improve by learning from large-scale student response data. In this paper, we propose BOBCAT, a Bilevel Optimization-Based framework for CAT to directly learn a data-driven question selection algorithm from training data. BOBCAT is agnostic to the underlying student response model and is computationally efficient during the adaptive testing process. Through extensive experiments on five real-world student response datasets, we show that BOBCAT outperforms existing CAT methods (sometimes significantly) at reducing test length.

    Comment: IJCAI 2021 with supplementary material
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2021-08-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Vertically Aligned CdO-Decked α-Fe

    Alhabradi, Mansour / Nundy, Srijita / Ghosh, Aritra / Tahir, Asif Ali

    ACS omega

    2022  Volume 7, Issue 32, Page(s) 28396–28407

    Abstract: Green hydrogen production is one of the most desirable sustainable goals of the United Nations. Thus, for that purpose, we developed hematite (α- ... ...

    Abstract Green hydrogen production is one of the most desirable sustainable goals of the United Nations. Thus, for that purpose, we developed hematite (α-Fe
    Language English
    Publishing date 2022-08-03
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.2c02996
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Comfort Analysis of Hafnium (Hf) Doped ZnO Coated Self-Cleaning Glazing for Energy-Efficient Fenestration Application.

    Nundy, Srijita / Ghosh, Aritra / Mesloub, Abdelhakim / Noaime, Emad / Touahmia, Mabrouk

    Materials (Basel, Switzerland)

    2022  Volume 15, Issue 14

    Abstract: To attain a comfortable building interior, building windows play a crucial role. Because of the transparent nature of the window, it allows heat loss and gain and daylight. Thus, they are one of the most crucial parts of the building envelope that have a ...

    Abstract To attain a comfortable building interior, building windows play a crucial role. Because of the transparent nature of the window, it allows heat loss and gain and daylight. Thus, they are one of the most crucial parts of the building envelope that have a significant contribution to the overall building energy consumption. The presence of dust particles on a window can change the entering light spectrum and creates viewing issues. Thus, self-cleaning glazing is now one of the most interesting research topics. However, aside from the self-cleaning properties, there are other properties that are nominated as glazing factors and are imperative for considering self-cleaning glazing materials. In this work, for the first time, Hf-doped ZnO was investigated as self-cleaning glazing and its glazing factors were evaluated. These outcomes show that the various percentages of ZnO doping with Hf improved the glazing factors, making it a suitable glazing candidate for the cold-dominated climate.
    Language English
    Publishing date 2022-07-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma15144934
    Database MEDical Literature Analysis and Retrieval System OnLINE

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