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  1. Article: Synconn_build

    Chaudhary, Gaurav / Johra, Hicham / Georges, Laurent / Austbø, Bjørn

    MethodsX

    2023  Volume 11, Page(s) 102464

    Abstract: Applying model-based predictive control in buildings requires a control-oriented model capable of learning how various control actions influence building dynamics, such as indoor air temperature and energy use. However, there is currently a shortage of ... ...

    Abstract Applying model-based predictive control in buildings requires a control-oriented model capable of learning how various control actions influence building dynamics, such as indoor air temperature and energy use. However, there is currently a shortage of empirical or synthetic datasets with the appropriate features, variability, quality and volume to properly benchmark these control-oriented models. Addressing this need, a flexible, open-source, Python-based tool,
    Language English
    Publishing date 2023-10-26
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2830212-6
    ISSN 2215-0161
    ISSN 2215-0161
    DOI 10.1016/j.mex.2023.102464
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Uterine Artery Embolization: A boon for Uterine Arteriovenous Malformation.

    Gadre, Sandhya / Chaudhary, Gunjan / Goyal, Pankaj / Ahirwar, Chandraprakash

    Journal of obstetrics and gynaecology of India

    2023  Volume 73, Issue 6, Page(s) 549–551

    Language English
    Publishing date 2023-08-11
    Publishing country India
    Document type Case Reports
    ZDB-ID 410688-x
    ISSN 0971-9202 ; 0022-3190
    ISSN 0971-9202 ; 0022-3190
    DOI 10.1007/s13224-023-01762-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  3. Article ; Online: Rupioid psoriasis with inverse psoriasis.

    Sharma, Vichitra / Mohanty, Swosti / Chaudhary, Garima

    Indian journal of dermatology, venereology and leprology

    2023  , Page(s) 1–2

    Language English
    Publishing date 2023-04-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 416068-x
    ISSN 0973-3922 ; 0019-5162 ; 0378-6323
    ISSN (online) 0973-3922
    ISSN 0019-5162 ; 0378-6323
    DOI 10.25259/IJDVL_1000_2022
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 85: Show issues Location:
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  4. Article: Efficacy and Safety of Skin Radiance Collagen on Skin and Hair Matrix: A Placebo-Controlled Clinical Trial in Healthy Human Subjects.

    Trehan, Anupam / Anand, Rachna / Chaudhary, Garima / Garg, Himanshi / Verma, Manoj Kumar

    Clinical, cosmetic and investigational dermatology

    2024  Volume 17, Page(s) 581–591

    Abstract: Purpose: Collagen supplements are rising in the market as collagen has been demonstrated to be an important protein in the human aging process. Also, it is safe and easily absorbed in the body. Hence the aim of this study was to examine the ... ...

    Abstract Purpose: Collagen supplements are rising in the market as collagen has been demonstrated to be an important protein in the human aging process. Also, it is safe and easily absorbed in the body. Hence the aim of this study was to examine the effectiveness and safety of a collagen and antioxidant-rich treatment compared to a placebo in relation to various skin and hair indicators in healthy adult human subjects.
    Patients and methods: Forty healthy adult non-pregnant/non-lactating women (aged 38-50 years) provided their informed consent in writing before their participation. Skin Radiance Collagen (SRC) treatment and a placebo were assessed for efficacy before application on Day 1, and post-application on Days 28 and 56, to measure changes in skin elasticity, hydration, brightness, pigmentation; texture, wrinkles, dryness, smoothness, fine lines, changes in the crow's feet region; as well as hair strength and hair fall.
    Results: It was observed after 56 days that therapy with SRC, compared to placebo, produced a substantial effect on reduction of wrinkle depth and fine lines by 48.11% and 39%, respectively, with
    Conclusion: SRC, a combination of collagen with hyaluronic acid (HA), biotin, and vitamins C and E, showed a significant improvement in skin and hair health, including improvements in skin elasticity, skin hydration, reduction in crow's feet area wrinkles and fine lines, hair fall, and decrease in roughness, leading to improved skin texture. Vitamin C in the formulation also acts as a collagen builder for the body and helps in preventing oxidative stress in the body. The test treatment SRC was found to be efficacious and safe in healthy human adult subjects.
    Language English
    Publishing date 2024-03-11
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2494852-4
    ISSN 1178-7015
    ISSN 1178-7015
    DOI 10.2147/CCID.S438642
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  5. Article ; Online: Evaluation of scientific quality of YouTube video content related to orthodontic pain management.

    Singh, Pinky / Fatima, Kaleem / Chaudhary, Ganesh / Chaudhari, Prabhat Kumar

    Dental press journal of orthodontics

    2023  Volume 28, Issue 5, Page(s) e232386

    Abstract: Introduction: With the abundant use of the internet, patients undergoing or interested in orthodontic treatment try to use it to obtain information on pain during treatment. However, YouTube™ is unregulated and may potentially contain inaccurate ... ...

    Abstract Introduction: With the abundant use of the internet, patients undergoing or interested in orthodontic treatment try to use it to obtain information on pain during treatment. However, YouTube™ is unregulated and may potentially contain inaccurate information.
    Objectives: Thus, this study aimed to evaluate the scientific quality of the videos on YouTube™ related to orthodontic pain management.
    Methods: A total of 62 videos related to orthodontic pain management were included in the study. All videos were evaluated by two experienced orthodontists. The video uploader, content, length, upload date, time since upload, number of views, comments, likes, dislikes, Interaction index, and Viewing rate of the videos were recorded and evaluated. The videos were scored using the Quality Criteria for Consumer Health Information (DISCERN), Global Quality Scale (GQS), and Audio-Visual Quality (AVQ), and divided into two groups: Doctors and Non-doctors.
    Results: The mean DISCERN score was 2.56 ± 0.91, the GQS score was 2.56 ± 1.06, and AVQ was 2.48 ± 0.68. A statistically significant difference was found in DISCERN score of videos uploaded by Doctors compared to Non-doctors, but no statistically significant difference was found in GQS and AVQ scores between both groups (p> 0.05).
    Conclusions: The videos uploaded by Doctors were better in terms of quality and reliability, as compared to Non-doctors; and the AVQ of the videos uploaded by both groups was adequate. Despite that, both groups did not serve as a good source of information. YouTube™ cannot be considered a reliable source of information in terms of quality and reliability on videos related to orthodontic pain management.
    MeSH term(s) Humans ; Pain Management ; Reproducibility of Results ; Social Media ; Pain ; Internet ; Video Recording
    Language English
    Publishing date 2023-11-03
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 2721511-8
    ISSN 2177-6709 ; 2177-6709
    ISSN (online) 2177-6709
    ISSN 2177-6709
    DOI 10.1590/2177-6709.28.5.e232386.oar
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  6. Article ; Online: Learning to write with the fluid rope trick.

    Chaudhary, Gaurav / Christ, Stephanie / Hart, A John / Mahadevan, L

    Soft matter

    2023  Volume 19, Issue 43, Page(s) 8329–8336

    Abstract: Direct ink writing, a versatile method of 3D and 4D printing, requires the precise placement of a nozzle just above the print surface to prevent fluid instabilities that cause deviations from the prescribed print path. But what if one could harness the ... ...

    Abstract Direct ink writing, a versatile method of 3D and 4D printing, requires the precise placement of a nozzle just above the print surface to prevent fluid instabilities that cause deviations from the prescribed print path. But what if one could harness the instability associated with the spontaneously folding or coiling of a thin stream of viscous fluid,
    Language English
    Publishing date 2023-11-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2191476-X
    ISSN 1744-6848 ; 1744-683X
    ISSN (online) 1744-6848
    ISSN 1744-683X
    DOI 10.1039/d3sm00177f
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  7. Article ; Online: Does distraction osteogenesis improve the airway volume and quality of life of obstructive sleep apnoea patients secondary to temporomandibular joint ankylosis?

    Chaudhary, Ganesh / Bhutia, Ongkila / Roychoudhury, Ajoy / Mandal, Jeetendra / Yadav, Rahul

    The British journal of oral & maxillofacial surgery

    2023  Volume 62, Issue 2, Page(s) 164–170

    Abstract: Temporomandibular joint (TMJ) ankylosis leads to mandibular micrognathia that severely collapses the upper airway causing obstructive sleep apnoea (OSA), resulting in deterioration and compromise in the quality of life (QoL) of patients. In this study, ... ...

    Abstract Temporomandibular joint (TMJ) ankylosis leads to mandibular micrognathia that severely collapses the upper airway causing obstructive sleep apnoea (OSA), resulting in deterioration and compromise in the quality of life (QoL) of patients. In this study, we aimed to calculate airway volume changes, apnoea-hypopnoea index (AHI), and improvement in quality of life before and after distraction osteogenesis (DO). Fourteen Patients with OSA secondary to TMJ ankylosis at a mean (SD) age of 17.5 (5.43) years were enrolled in this prospective study. Multivector mandibular distractors were used in all patients following the standard Ilizarov distraction protocol with a mean (SD) anteroposterior distraction of 16.21 (4.37) mm and a consolidation period of 116.92 (14.35) days. The patients were followed up for six months. A polysomnography test (PSG) was done to quantify AHI and a low-dose computed tomographic scan was done to calculate airway volume using Dolphin medical imaging software pre and post-DO. The QoL of the patients was calculated using the OSA-18 questionnaire. Results analysis depicted that the mean (SD) preoperative AHI was 51.44 (37.99)/h which was improved to 9.57 (9.74)/h (p = 0.001) after DO. Airway volume was calculated on Dolphin software before and after DO showed a significant improvement in airway volume by 121.12% (98.30)%. Similarly, the OSA-18 questionnaire showed significant improvement in QoL from severe to normal. This study suggested that DO increases the corpus length of the mandible, leading to an increment in airway volume, which improves the QoL.
    MeSH term(s) Humans ; Animals ; Adolescent ; Quality of Life ; Osteogenesis, Distraction ; Prospective Studies ; Dolphins ; Sleep Apnea, Obstructive/etiology ; Sleep Apnea, Obstructive/surgery ; Ankylosis/complications ; Ankylosis/surgery ; Temporomandibular Joint ; Temporomandibular Joint Disorders
    Language English
    Publishing date 2023-12-04
    Publishing country Scotland
    Document type Journal Article
    ZDB-ID 605685-4
    ISSN 1532-1940 ; 0266-4356
    ISSN (online) 1532-1940
    ISSN 0266-4356
    DOI 10.1016/j.bjoms.2023.11.009
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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.238: Show issues Location:
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  8. Article: DTLMV2-A real-time deep transfer learning mask classifier for overcrowded spaces.

    Gupta, Meenu / Chaudhary, Gopal / Bansal, Dhruvi / Pandey, Shashwat

    Applied soft computing

    2022  Volume 127, Page(s) 109313

    Abstract: Through the commencement of the COVID-19 pandemic, the whole globe is in disarray and debating on unique approaches to stop this viral transmission. Masks are being worn by people all around the world as one of the preventative measures to avoid ... ...

    Abstract Through the commencement of the COVID-19 pandemic, the whole globe is in disarray and debating on unique approaches to stop this viral transmission. Masks are being worn by people all around the world as one of the preventative measures to avoid contracting this sickness. Although some people are following and adopting this precaution, others are not, despite official recommendations from the administration and public health organisations has been announced. In this paper DTLMV2 (Deep Transfer Learning MobileNetV2 for the objective of classification) is proposed - A face mask identification model that can reliably determine whether an individual is wearing a mask or not is suggested and implemented in this work. The model architecture employs the peruse of MobileNetV2, a lightweight Convolutional Neural Network (CNN) that requires less computing power and can be readily integrated into computer vision and mobile systems. The computer vision with MobileNet is required to formulate a low-cost mask detection system for a group of people in open spaces that can assist in determining whether a person is wearing a mask or not, as well as function as a surveillance system since it is effective on both real-time pictures and videos. The face recognition model obtained 97.01% accuracy on validation data, 98% accuracy on training data and 97.45% accuracy on testing data.
    Language English
    Publishing date 2022-07-21
    Publishing country United States
    Document type Journal Article
    ISSN 1568-4946
    ISSN 1568-4946
    DOI 10.1016/j.asoc.2022.109313
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  9. Article ; Online: Rinsing the rima oris for expanding the horizons of breathing: Hypothesis processed.

    Chaudhry, Anshul / Chaudhary, Girish

    Medical hypotheses

    2020  Volume 146, Page(s) 110446

    MeSH term(s) Humans ; Mouth ; Respiration
    Language English
    Publishing date 2020-12-03
    Publishing country United States
    Document type Letter
    ZDB-ID 193145-3
    ISSN 1532-2777 ; 0306-9877
    ISSN (online) 1532-2777
    ISSN 0306-9877
    DOI 10.1016/j.mehy.2020.110446
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  10. Book ; Online: Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder-Decoder neural network

    Chaudhary, Gaurav / Johra, Hicham / Georges, Laurent / Austbø, Bjørn

    2023  

    Abstract: Hybrid ventilation (coupling natural and mechanical ventilation) is an energy-efficient solution to provide fresh air for most climates, given that it has a reliable control system. To operate such systems optimally, a high-fidelity control-oriented ... ...

    Abstract Hybrid ventilation (coupling natural and mechanical ventilation) is an energy-efficient solution to provide fresh air for most climates, given that it has a reliable control system. To operate such systems optimally, a high-fidelity control-oriented model is required. It should enable near-real time forecast of the indoor air temperature and humidity based on operational conditions such as window opening and HVAC schedules. However, widely used physics-based simulation models (i.e., white-box models) are labour-intensive and computationally expensive. Alternatively, black-box models based on artificial neural networks can be trained to be good estimators for building dynamics. This paper investigates the capabilities of a multivariate multi-head attention-based long short-term memory (LSTM) encoder-decoder neural network to predict indoor air conditions of a building equipped with hybrid ventilation. The deep neural network used for this study aims to predict indoor air temperature dynamics when a window is opened and closed, respectively. Training and test data were generated from detailed multi-zone office building model (EnergyPlus). The deep neural network is able to accurately predict indoor air temperature of five zones whenever a window was opened and closed.

    Comment: 11 pages, 8 figures
    Keywords Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Signal Processing
    Subject code 690
    Publishing date 2023-02-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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