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Fulltext Photobioreactors for building integration: A overview of designs and architectural potential

Arora R, Sudhakar K, Rana RS

Heliyon, 2024 Aug 15;10(15):e35168.
PMID: 39165930 DOI: 10.1016/j.heliyon.2024.e35168

The global community faces critical energy and environmental challenges, necessitating innovative solutions to ensure a sustainable future.In response to these challenges, this paper explores the potential of integrating microalgal biotechnology with renewable energy systems within buildings. This innovative approach could transform architecture into a "bio-factory" capable of producing food, energy, and other valuable products.The success of this concept hinges on developing highly efficient photobioreactors specifically designed for building integration. Optimizing these systems requires careful consideration of design parameters, growth rate models, and factors influencing performance within diverse urban environments.Furthermore, integrating these systems must prioritize productivity and aesthetics to promote urban self-sufficiency and a sustainable built environment. By utilizing microalgae and renewable energy sources, building-integrated photobioreactors offer a promising solution for reducing energy consumption and carbon footprints in modern buildings.
Fulltext Clinical and radiological results of the vascularized medial femoral condyle graft for scaphoid non-union

Keller M, Kastenberger T, Anoar AF, Kaiser P, Schmidle G, Gabl M, et al.

Arch Orthop Trauma Surg, 2020 Jun;140(6):835-842.
PMID: 32124031 DOI: 10.1007/s00402-020-03386-7

INTRODUCTION: This study evaluated the use of a free vascularized bone graft with and without cartilage from the medial femoral condyle (MFC) in patients with recalcitrant scaphoid non-union, with a special focus on union rates and the osteochondral graft for proximal pole destruction.
MATERIALS AND METHODS: Thirty-eight avascular scaphoid non-unions in 37 patients who were treated with a free osteoperiosteal or osteochondral MFC graft were retrospectively evaluated (mean follow-up 16 months). Bone union, the scapholunate and the radiolunate angles were evaluated on X-ray images. The range of motion, grip strength, VAS, DASH and PRWE scores were evaluated clinically.
RESULTS: The overall union rate was 95%. Bone union was achieved in 27 out of 29 (93%) scaphoids treated with a free osteoperiosteal MFC grafts and in 9 out of 9 (100%) scaphoids treated with a free osteochondral MFC graft. The range of motion remained almost unchanged, while grip strength increased significantly (34 kg vs. 44 kg) and the VAS (22-5), DASH (59-19) and PRWE (62-30) score decreased significantly. The scapholunate (71°-65°) and radiolunate (28°-18°) angle decreased. No major donor site morbidity was observed. Postoperative complications were observed in eight cases (21%).
CONCLUSIONS: The vascularized medial femoral bone graft leads to a good functional outcome in the treatment of scaphoid non-unions. The graft provides adequate blood supply and structural stability to the scaphoid. A proximal pole destruction can be replaced using an osteochondral graft with promising short-term results preventing carpal osteoarthritis and collapse.
Fulltext AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs

Arora R, Bansal V, Buckchash H, Kumar R, Sahayasheela VJ, Narayanan N, et al.

Phys Eng Sci Med, 2021 Dec;44(4):1257-1271.
PMID: 34609703 DOI: 10.1007/s13246-021-01060-9

According to the World Health Organization (WHO), novel coronavirus (COVID-19) is an infectious disease and has a significant social and economic impact. The main challenge in fighting against this disease is its scale. Due to the outbreak, medical facilities are under pressure due to case numbers. A quick diagnosis system is required to address these challenges. To this end, a stochastic deep learning model is proposed. The main idea is to constrain the deep-representations over a Gaussian prior to reinforce the discriminability in feature space. The model can work on chest X-ray or CT-scan images. It provides a fast diagnosis of COVID-19 and can scale seamlessly. The work presents a comprehensive evaluation of previously proposed approaches for X-ray based disease diagnosis. The approach works by learning a latent space over X-ray image distribution from the ensemble of state-of-the-art convolutional-nets, and then linearly regressing the predictions from an ensemble of classifiers which take the latent vector as input. We experimented with publicly available datasets having three classes: COVID-19, normal and pneumonia yielding an overall accuracy and AUC of 0.91 and 0.97, respectively. Moreover, for robust evaluation, experiments were performed on a large chest X-ray dataset to classify among Atelectasis, Effusion, Infiltration, Nodule, and Pneumonia classes. The results demonstrate that the proposed model has better understanding of the X-ray images which make the network more generic to be later used with other domains of medical image analysis.
Fulltext Socioeconomic impact due to COVID-19: An empirical assessment

Gupta V, Santosh KC, Arora R, Ciano T, Kalid KS, Mohan S

Inf Process Manag, 2022 Mar;59(2):102810.
PMID: 35165495 DOI: 10.1016/j.ipm.2021.102810

Starting from December 2019, the novel COVID-19 threatens human lives and economies across the world. It was a matter of grave concern for the governments of all the countries as the deadly virus started expanding its paws over neighboring regions of infected areas. The spread got uncontrollable, thereby leaving no choice for the nations but to impose and observe nationwide lockdown. The lockdown further sorely hit many sectors, which in turn impacted the economy. Manufacturing, agriculture, and the service sector - the three pillars of the economy - have been adversely affected giving a major slow down to the economy belonging to every nation. Several schemes and policies were introduced by different state and central governments to absorb the impact of subsequent lockdowns on individuals. In this paper, we present a then and now analysis of the economy using a socioeconomic framework focusing on factors- unemployment, industrial production, import-export trade, equity markets, currency exchange rate, and gold and silver prices. For all these, we consider India as a case study because the Indian sub-continent has a wide landscape and rich cultural heritage presenting itself as a potential hub for economic activities. A thorough assessment has been made for the period January 2020- June 2020. The assessment will be beneficial to observe the long-term impact of any infectious disease outbreak such as COVID-19 locally and globally.
Fulltext Implications of Web of Science journal impact factor for scientific output evaluation in 16 institutions and investigators' opinion

Wáng YX, Arora R, Choi Y, Chung HW, Egorov VI, Frahm J, et al.

Quant Imaging Med Surg, 2014 Dec;4(6):453-61.
PMID: 25525577 DOI: 10.3978/j.issn.2223-4292.2014.11.16

Journal based metrics is known not to be ideal for the measurement of the quality of individual researcher's scientific output. In the current report 16 contributors from Hong Kong SAR, India, Korea, Taiwan, Russia, Germany, Japan, Turkey, Belgium, France, Italy, UK, The Netherlands, Malaysia, and USA are invited. The following six questions were asked: (I) is Web of Sciences journal impact factor (IF) and Institute for Scientific Information (ISI) citation the main academic output performance evaluation tool in your institution? and your country? (II) How does Google citation count in your institution? and your country? (III) If paper is published in a non-SCI journal but it is included in PubMed and searchable by Google scholar, how it is valued when compared with a paper published in a journal with an IF? (IV) Do you value to publish a piece of your work in a non-SCI journal as much as a paper published in a journal with an IF? (V) What is your personal view on the metric measurement of scientific output? (VI) Overall, do you think Web of Sciences journal IF is beneficial, or actually it is doing more harm? The results show that IF and ISI citation is heavily affecting the academic life in most of the institutions. Google citation and evaluation, while is being used and convenient and speedy, has not gain wide 'official' recognition as a tool for scientific output evaluation.