531 research outputs found
A prospective, multicenter, clinical study to evaluate the safety, pharmacokinetics, and efficacy of bleed outcomes, with HemoRel-A® in severe hemophilia A patients
No full textPurpose: To evaluate efficacy for an on-demand treatment of acute bleeding events, pharmacokinetics, safety, and tolerability of HemoRel-A® in severe hemophilia A. Methods: A total of 44 male subjects with severe hemophilia A with an annualized bleed rate of 12 while on-demand treatment with factor VIII (FVIII) were enrolled in the study and received HemoRel-A® for bleed treatment. The efficacy of HemoRel-A® was evaluated based on a four-point scale (excellent, good, moderate, or none). Six-point pharmacokinetic (PK) assessment was performed following a single dose of 50 IU/kg in 12 subjects after a 7-day wash-out period. Safety evaluations were performed at each visit and inhibitor testing was performed in all patients at screening and end of study. Results: Forty-four male subjects received at least a single dose of the study medication and were included in the intent-to-treat (ITT) analysis and safety outcome. In 23 (7.52%) out of the 306 bleeding events, HemoRel-A® efficacy was rated as excellent, in 272 (88.89 %) bleeds it was rated as good, and in 11 (3.68%) bleeding events it was rated as moderate. No failure of efficacy was noted in any of the bleeding events. Thus overall out of 306 bleeding events, 295 (96.41%) showed excellent or good efficacy. Pharmacokinetic assessment based on plasma FVIII activity measured by the chromogenic assay in 12 patients showed comparative results similar to FVIII preparations. A total of 12 adverse events (AEs) were reported in this study. There was no inhibitor development in this previously treated patients (PTP) cohort. Conclusion: HemoRel-A® was established to be efficacious and safe in the treatment of acute bleeding events in subjects with severe hemophilia A.</p
Atmospheric deposition of microplastics in an urban conglomerate near to the foothills of Indian Himalayas: investigating the quantity, chemical character, possible sources and transport mechanisms
No full textWindow extraction from aerial photogrammetry point cloud datasets for the development of energy digital twins (EDTs)
No full textAccurate geometric extraction of building envelope elements from 3D point clouds is fundamental to developing Energy Digital Twins (EDTs) grounded in geospatial datasets. The precise extraction of windows from aerial photogrammetry is essential for the simulation of building energy performance as they have a significant impact on solar gains, heat loss, and daylighting. Using aerial photogrammetry point cloud dataset from metropolitan area in Torino, Italy, this study compares two methods for automatic window extraction: a Random Forest (RF) classifier trained on manually defined geometric features and a Kernel Point Convolution (KPConv) network that captures hierarchical geometric features from unstructured point clouds. While the RF model attained an overall accuracy of 56.2% with a window-class F1-score of 38.3%, KPConv exhibited improved performance with a 52.1% F1-score and 66.4% accuracy, indicating its relatively greater reliability in capturing window geometry. In software like EnergyPlus, the correct computation of energy performance is enabled by the detailed depiction of building attributes such as windows, which aids in simulating heating, cooling, and lighting demands. Inaccurate assessment of solar gains and thermal losses may arise from inaccuracies in window shape, thereby affecting energy demand forecasts. These findings underscore the significance of superior geometric extraction in the formulation of efficient EDT, as it creates a scalable framework for energy-efficient architectural design, retrofitting, and sustainable urban planning on a large scale. This work illustrates the extraction of windows from aerial photogrammetry point cloud datasets as a fundamental step in the development of Energy Digital Twins (EDTs), supplying crucial boundary inputs for later building energy modelling
AWARD given at Digital Outreach and Convergence Summit (DOCS-2016) 28th May, 2016 IIT Delhi, IV- LT3
No full textExtreme Left: Dr. Naresh Gill Co-Founder KRDWG, Mr. Ajay Arora, Director Forever Life and Co-Founder KRDWG, Prof. (Dr.) Yogender Kumar Yadav, Director General, National Institute of Bioenergy(NIBE), MNRE Kapurthala gives this Award to Dr. Pratap Chauhan who is an Indian Ayurvedic doctor for initiating online Ayurveda medicine and Founder of Jiva Ayurveda,, Extreme Right Dr. Subodh Kesharwani, Founder Editor-In-Chief, GJEIS is an academic partners of the DOCS’16.</jats:p
Towards the total syntheses of biologically active natural products : FR252921, amaminol B, (-)-lardolure and (2R,4R,6R,8R)-2,4,6,8-tetramethylundecanoic acid
No full textThesis: Ph. D., Vidyasagar University, Midnapore, Department of Chemistry and Chemical Technology, Vidyasagar University Midnapore INDIA, 2012Towards the total syntheses of biologically active natural products : FR252921, amaminol B, (-)-lardolure and (2R,4R,6R,8R)-2,4,6,8-tetramethylundecanoic acidDepartment of Chemistry and Chemical Technology, Vidyasagar University Midnapore INDIA and Natural Products Chemistry Division, Indian Institute of Chemical Technology, Hyderaba
From Data to Decisions: navigating the big data Paradigm in HRM
No full textThis research scrutinises 303 scholarly publications from 2012 to 2023, probing the intersection of Big Data and Human Resource Management (HRM). The study unveils significant trends, seminal works, publication avenues, notable authors, institutions, and countries around this dynamic domain. By gathering enormous continuous data regarding choices and behaviour patterns of the workforce and employing advanced analytics, organisations are now equipped to glean invaluable insights into workforce behaviour and organisational dynamics. The findings provide a comprehensive snapshot of the evolving landscape, offering critical insights for researchers, practitioners, and policymakers navigating the juncture of HRM and Big Data. This study also attracts future research by shedding light on the underlying gaps in the prevailing literature
DELBMRFS: Design of Efficient Load Balanced Multicast Routing Protocol for Wireless Mobile Ad-hoc Network Based on Fibonacci Sequence Approach
No full textAnalysis of the Performance of IoT Networks in Acoustic Environment by using LZW Data Compression Technique
No full textThe Internet of Things (IoT) has experienced phenomenal growth, opening up a wide range of applications in many settings. Due to the properties of sound propagation, IoT networks operating in acoustic environments in particular present special difficulties. Data compression techniques can be used to minimize overhead and maximize resource utilization in these networks to increase performance. The performance of IoT networks in acoustic environments is examined in this study, with a focus on routing overhead, throughput, and typical end-to-end delay. Lempel-Ziv-Welch (LZW) data compression is used to reduce data size and boost communication effectiveness. Three well-known protocols—MQTT, CoAP, and Machine-to-Machine (M2M)—are assessed in relation to acoustic Internet of Things networks. To mimic different acoustic conditions and collect performance metrics, a thorough experimental setup is used. Different network topologies, data speeds, and compression settings are used in the studies to determine how they affect the performance metrics. According to the analysis's findings, all three protocols' routing overhead is greatly decreased by the LZW data compression approach, which enhances network scalability and lowers energy usage. Additionally, the compressed data size has a positive impact on network throughput, allowing for effective data transmission in acoustic contexts with limited resources. Additionally, using LZW compression is seen to minimize the average end-to-end delay, improving real-time communication applications. This study advances knowledge of IoT networks operating in acoustic environments and the effects of data reduction methods on their functionality. The results offer useful information for network engineers and system designers to optimize the performance of IoT networks in similar situations. Additionally, a comparison of the MQTT, CoAP, and M2M protocols' suitability for acoustic IoT deployments is provided, assisting in the choice of protocol for particular application needs
Concrete Durability Characteristics as a Result of Manufactured Sand
No full textDue to a surge in construction activities and infrastructure developments, concrete is the most in-demand material. Because there is less natural sand available, building projects are becoming more expensive. An effort has been made in the current endeavour to provide a substitute for natural sand. Abrasion, impact, and water absorption resistance of M40 and M50 grades of concrete have been studied with manufactured sand as fine aggregate and the results have been compared with conventional sand concrete. Durability studies, such as water absorption, rapid chloride permeability test, sorptivity, acid resistance, alkaline resistance, impact resistance, and abrasion resistance, have also been studied. According to the findings, using synthetic sand in place of sand as fine aggregate increases durability attributes by up to 70%, and using it exclusively results in concrete with superior durability than traditional sand concrete
Innovation in Marketing Management
No full textThis research aims at exploring the relationship between a firm's strategic orientation, marketing
management in terms of marketing mix tactics, and innovation performance. We examine three types of
strategic orientations: customer, technology, and combined customer/technology orientation. We analyze
their direct effect on innovation performance as well as the moderating effect of marketing management in
terms of the marketing mix on this relationship. We test our hypotheses on a sample of 1603 French
manufacturing firms and show that organizations with a combined customer/technology orientation
outperform those with a customer or technology orientation alone. We also show that the moderating effect
of marketing management in boosting innovation success is positive for all orientations, but greatest for
organizations with a technology orientation. Finally, we find that the moderating effect of marketing
management on the relationship between orientation and performance increases as more elements of the
marketing mix are deployed simultaneously. We are pleased to introduce this special issue on marketing of
high-technology products and innovations. High-technology industries are distinguished by increasing
turbulence, and time-and information-intensive environments (Mohr, Sengupta, & Slater, in press).
Additionally, issues related to unique characteristics like network effects, dominant design, and
technological standards increase complexity in identifying, implementing, and evaluating marketing
strategies in such environments (Hills & Sarin, 2003). This special issue features papers that contribute
theoretically, methodologically, and substantively to enhancing our understanding of marketing strategies
in high-tech environments.
The effects of exploratory and exploitative market learning on management innovation are contingent on
technological and marketing capabilities. Specifically, technological capabilities enhance the positive
effect of exploratory market learning and weaken the positive effect of exploitative market learning on
management innovation. Marketing capabilities enhance the positive effect of exploitative market learning
and weaken the positive effect of exploratory market learning on management innovation. This study
contributes to the literature by integrating organizational learning theory with the absorptive capacity
perspective to explain management innovation
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