13 research outputs found

    Understanding the Impact of Early Citers on Long-Term Scientific Impact

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    This paper explores an interesting new dimension to the challenging problem of predicting long-term scientific impact (LTSI) usually measured by the number of citations accumulated by a paper in the long-term. It is well known that early citations (within 1-2 years after publication) acquired by a paper positively affects its LTSI. However, there is no work that investigates if the set of authors who bring in these early citations to a paper also affect its LTSI. In this paper, we demonstrate for the first time, the impact of these authors whom we call early citers (EC) on the LTSI of a paper. Note that this study of the complex dynamics of EC introduces a brand new paradigm in citation behavior analysis. Using a massive computer science bibliographic dataset we identify two distinct categories of EC - we call those authors who have high overall publication/citation count in the dataset as influential and the rest of the authors as non-influential. We investigate three characteristic properties of EC and present an extensive analysis of how each category correlates with LTSI in terms of these properties. In contrast to popular perception, we find that influential EC negatively affects LTSI possibly owing to attention stealing. To motivate this, we present several representative examples from the dataset. A closer inspection of the collaboration network reveals that this stealing effect is more profound if an EC is nearer to the authors of the paper being investigated. As an intuitive use case, we show that incorporating EC properties in the state-of-the-art supervised citation prediction models leads to high performance margins. At the closing, we present an online portal to visualize EC statistics along with the prediction results for a given query paper

    HOMOLOGY MODELLING AND MOLECULAR DOCKING STUDY OF ORGANOPHOSPHATES AND PYRETHROIDS IN TERMS OF POTENTIAL TOXICITY

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    Objective: Though the adverse effects of pesticides used in agriculture may not immediately be visible in the human population however its long term exposure may cause detrimental effects by biomagnifications and bioaccumulation. Nowadays bioinformatics serves as an in silico tool not only for homology alignment but also for prediction of quaternary structures of biochemicals. The present study was aimed to compare the potential toxicities of triazophos and chlorpyrifos (organophosphates; OPs) and cypermethrin and deltamethrin (pyrethroids) and their interactions with cytochrome P450 functioning. Methods: The authors performed the BLAST for homology alignment for cytochrome P450 of human and Zebra fish and further proceeded for docking analysis of all the pesticides with cytochrome P450. Results: It was noted that 99% of query cover with 32% of homology in the sequences of cytochrome P450 between human and Zebra fish. Upon docking, the pesticide deltamethrin showed the highest interaction with cytochrome P450 with highest binding energy and least dissociation constant for Deltamethrin which was found to be 8.233 [kcal/mol] and 922849.687 [pM].Conclusion: Our preliminary results thus encompass/indicate that the deltamethrin is not only having detrimental effect on enzyme kinetics in general but also such similar effects be apprehended for human also

    Evaluating the shortest and most efficacious decontaminating method for endodontic files in Pediatric dentistry

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    Aim: To compare and evaluate the effectiveness of various pre-sterilizing techniques used for the sterilization of endodontic files used intermittently in between patients in the dental operatory. Materials and Methods: The current study involved investigating the effectiveness of 4 methods of pre-sterilizing endodontic files: Control group: no sterilization procedure was performed; Group A- chemical sterilization (with Glutaraldehyde), Group B- Autoclave, Group C- Ultraviolet Chamber and Group D- Ethanol. A total of 50 endodontic files for 10 patients indicated for pulp therapy in primary deciduous molars with 4 root canals each were selected for the study. After access opening, pulp was extirpated by 5 files each per patient. After access opening, 40 root canals in 10 patients were cleaned and shaped using conventional techniques. Each file was then allotted to each group and sterilized by the above mentioned methods and assessed for sterility by putting it in eppendorf tubes containing Brain Heart Infusion (BHI) broth and incubating it at 37oC for 24 hours. The bacterial cultures were then measured for their optical densities using the spectrophotometer.  Results: Maximum decrease in microbial cultures was noted in the Autoclave group followed by the Glutaraldehyde group with a non-significant difference. Ethanol and UV sterilization had non- significant results among them but were significantly different from Autoclave and Glutaraldehyde. Conclusion: Pre sterilization of files is an important step especially in these times and can be easily achieved by various methods

    Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

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    IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

    Nano Sponges: A Novel Approach for Targeted Drug Delivery Systems

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    Targeted drug delivery system is a unique type of medication conveyance framework where the pharmacologically dynamic specialists mainly focused on its site activity and not to the non-focused on organs, tissues or cells. Nano sponges are such sort of compelling pharmaceutical transporters, which take care of issues like harmfulness and helpless bioavailability such as they can stack both hydrophilic and hydrophobic medicines. Various classifications of medications can stack into Nano sponge for focused medication conveyance. This targeted drug delivery system is one of the most encouraging methodologies in the existence of science. Nano sponges are little in size with a three-dimensional organization and nanometric depression. Nano sponges are exceptionally permeable and have the extraordinary capacity to ensure dynamic particles and offer programmable delivery. This Review article explains the overall presentation of nano sponges a grouping of nano sponge trademark highlights of nano sponges their points of interest inconveniences, and synthetic compounds utilized in their planning, arrangement of technical factors influencing on the preparation component activities and assessment boundaries with some particular applications.  Keywords: Nano sponges; Targeted drug delivery; Solubility Enhancement; controlled drug delivery

    Design of Different Control Strategies for a Boiler Drum System using LabVIEW

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    The boiler drum water level control is one of the most important controls used in chemical process industries. The perfect control of the boiler drum water level is the most important function of the boiler. If the water level remains in low level, due to overheating the boiler may get damaged, and also, if the water level remains in high level, due to overflow of water the function of separator will be improper. Therefore, it is required to maintain an optimum interface level between steam and water within the boiler drum system. This paper provides the comparative performance analysis of different control strategies such as feedback ,feed forward, feedback-feed forward ,cascade, Internal Model Control(IMC). Using IMC control strategy for boiler drum system we have got a good set point tracking and more disturbance rejection when compared to normal control strategies. The designed model of boiler drum level has been simulated in LabVIEW environment
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