Development of miniature Stirling cryocooler technology for Infrared Focal Plane array

A reliable miniature cryocooler is one of the basic and foremost requirements for successful operation of high performance cooled infrared focal plane array (IRFPA) used for defence applications. Technological complexity and requirement of long duration fail-safe operation of the cryocooler demands robust design, fabrication and assembly with tolerances and, perfection of an array of sub-technologies. The paper presents the progress of the development activities in Stirling cryocooler technology at SSPL, which evolved through essential milestones like the development of single and dual piston linear motor driven split coolers to the state-of-the-art integral Brushless DC (BLDC) motor crank-driven type highly miniaturized coolers of capacities ranging from 0.25 to 0.5W at 80K. The theoretical investigations in the design of Stirling cycle cryocooler have been reported and the issues related to the design aspects are discussed in sufficient details. Experimental results of cryocooler performance tests are also presented. The paper also focuses on regenerator design optimization. The results of optimizations have been shown at the end considering a sample data.Defence Science Journal, 2013, 63(6), pp.571-580, DOI:http://dx.doi.org/10.14429/dsj.63.575

Performance of the low-latency GstLAL inspiral search towards LIGO, Virgo, and KAGRA's fourth observing run

GstLAL is a stream-based matched-filtering search pipeline aiming at the prompt discovery of gravitational waves from compact binary coalescences such as the mergers of black holes and neutron stars. Over the past three observation runs by the LIGO, Virgo, and KAGRA (LVK) collaboration, the GstLAL search pipeline has participated in several tens of gravitational wave discoveries. The fourth observing run (O4) is set to begin in May 2023 and is expected to see the discovery of many new and interesting gravitational wave signals which will inform our understanding of astrophysics and cosmology. We describe the current configuration of the GstLAL low-latency search and show its readiness for the upcoming observation run by presenting its performance on a mock data challenge. The mock data challenge includes 40 days of LIGO Hanford, LIGO Livingston, and Virgo strain data along with an injection campaign in order to fully characterize the performance of the search. We find an improved performance in terms of detection rate and significance estimation as compared to that observed in the O3 online analysis. The improvements are attributed to several incremental advances in the likelihood ratio ranking statistic computation and the method of background estimation.Comment: 19 pages, 21 figure

Low-latency gravitational wave alert products and their performance in anticipation of the fourth LIGO-Virgo-KAGRA observing run

Multi-messenger searches for binary neutron star (BNS) and neutron star-black hole (NSBH) mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to gravitational wave (GW)s has resumed with Advanced LIGO (aLIGO)'s, Advanced Virgo (AdVirgo)'s and KAGRA's fourth observing run (O4). To support this effort, public semi-automated data products are sent in near real-time and include localization and source properties to guide complementary observations. Subsequent refinements, as and when available, are also relayed as updates. In preparation for O4, we have conducted a study using a simulated population of compact binaries and a Mock Data Challenge (MDC) in the form of a real-time replay to optimize and profile the software infrastructure and scientific deliverables. End-to-end performance was tested, including data ingestion, running online search pipelines, performing annotations, and issuing alerts to the astrophysics community. In this paper, we present an overview of the low-latency infrastructure as well as an overview of the performance of the data products to be released during O4 based on a MDC. We report on expected median latencies for the preliminary alert of full bandwidth searches (29.5 s) and for the creation of early warning triggers (-3.1 s), and show consistency and accuracy of released data products using the MDC. This paper provides a performance overview for LVK low-latency alert structure and data products using the MDC in anticipation of O4

Genome-wide association study of circulating interleukin 6 levels identifies novel loci

Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67428 (ndiscovery=52654 and nreplication=14774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (Pcombined=1.8x10-11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (Pcombined=1.5x10-10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (Pcombined=1.2x10-122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.</p

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

Ranking Social Engineering Attack Vectors in the Healthcare and Public Health Sector

The National Institute of Standards and Technology defines social engineering as an attack vector that deceives an individual into divulging confidential information or performing unwanted actions [1]. Different methods of social engineering include phishing, pretexting, tailgating, baiting, vishing, SMSishing, and quid pro quo. These attacks can have devastating effects, especially in the healthcare sector, where there are budgetary and time constraints. To address these issues, this study aimed to use cybersecurity experts to identify the most important social engineering attacks to the healthcare sector and rank the underlying factors in terms of cost, success rate, and data breach. By creating a ranking that can be updated constantly, organizations can provide more effective training to users and reduce the overall risk of a successful attack. This study identified phishing attacks via email, voice and SMS to be the most important to defend against primarily due to the number of attacks. Baiting and quid pro quo consistently ranked as lower in priority and ranking

Mastering the Industry 4.0 Transition: Strategies for Adaptation and Overcoming Challenges

The rapid evolution of Industry 4.0 technologies, including artificial intelligence (AI), the Internet of Things (IoT), blockchain, and smart manufacturing, is reshaping global industries. This paper explores the transformative role of these technologies in optimizing supply chain management, enhancing productivity, and driving digital transformation. The integration of AI in investment decision-making, cybersecurity challenges, and the implications of automation on labor markets are critically analyzed. Digital twins and predictive analytics are redefining operational efficiencies, while blockchain strengthens transparency in supply chains. Furthermore, the paper discusses the economic and social implications of these advancements, highlighting concerns over workforce displacement and ethical AI practices. Leading academic studies, industry publications, and business case studies from organizations like the World Economic Forum, Siemens, and McKinsey &amp; Company offer insightful information about the prospects and difficulties of digital transformation. The sustainability of AI-driven economies is also examined in the assessment, with a focus on environmentally conscious manufacturing and circular economy models. According to the findings, a balanced strategy that combines human expertise with automation powered by AI is necessary to guarantee both technological sustainability and equitable progress. This essay adds to the expanding conversation about how society, businesses, and policymakers may successfully manage the Fourth Industrial Revolution

RANDOMIZED TRIAL FOR COMPARISON OF BUPRENORPHINE AND FENTANYL FOR AWAKE FIBEROPTIC INTUBATION

Objectives: Awake fiberoptic intubation (AFOI) is a step-forward technique for successful intubation of patients with difficult airways. The popularity of its usage is increasing day by day in handling difficult airways. Our study aims to compare the efficacy and efficiency of Buprenorphine and Fentanyl as sedative agents for AFOI. The primary and secondary outcome measure was to assess hemodynamic response and on intubating condition of the patient after AFOI. Methods: This randomized, prospective study was conducted in tertiary Center hospital. Total of 100 patient were enrolled for study and divided into two groups, Group A patients received intravenous Buprenorphine injection (2.5 (microgram/kilogram [μg/kg] over 10 min) and Group B Fentanyl injection (2 μg/kg over10 min) was injected prior to AFOI. The degree of sedation was assessed using the Observer’s assessment of alertness/sedation score (OAA/S), and the score of coughing during awake bronchoscopy was used to assess intubation status. Tolerability of intubation was assessed using a 5-point intubation score and a 3-point post-intubation assessment score immediately after the placement of the endotracheal tube into the trachea. Results: Group A had more favorable OAA score than Group B, whereas other intubation conditions cough score, limb movement, 5-point intubation score, 3-point post intubation score was more favourable in Group B than in Group A. Conclusion: Intravenous Fentanyl is better than Buprenorphine agent in terms of intubation score for AFOI. Both groups are comparable in terms of hemodynamic changes and stability