All Multiparty Quantum States Can Be Made Monogamous

Monogamy of quantum correlation measures puts restrictions on the sharability of quantum correlations in multiparty quantum states. Multiparty quantum states can satisfy or violate monogamy relations with respect to given quantum correlations. We show that all multiparty quantum states can be made monogamous with respect to all measures. More precisely, given any quantum correlation measure that is non-monogamic for a multiparty quantum state, it is always possible to find a monotonically increasing function of the measure that is monogamous for the same state. The statement holds for all quantum states, whether pure or mixed, in all finite dimensions and for an arbitrary number of parties. The monotonically increasing function of the quantum correlation measure satisfies all the properties that is expected for quantum correlations to follow. We illustrate the concepts by considering a thermodynamic measure of quantum correlation, called the quantum work deficit.Comment: 6.5 pages, 2 figures, RevTeX 4-1, Title in the published version is "Monotonically increasing functions of any quantum correlation can make all multiparty states monogamous

Prevalence of refractive errors in children in India: a systematic review

Uncorrected refractive error is an avoidable cause of visual impairment which affects children in India. The objective of this review is to estimate the prevalence of refractive errors in children ≤ 15 years of age. The Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines were followed in this review. A detailed literature search was performed to include all population and school‐based studies published from India between January 1990 and January 2017, using the Cochrane Library, Medline and Embase. The quality of the included studies was assessed based on a critical appraisal tool developed for systematic reviews of prevalence studies. Four population‐based studies and eight school‐based studies were included. The overall prevalence of refractive error per 100 children was 8.0 (CI: 7.4–8.1) and in schools it was 10.8 (CI: 10.5–11.2). The population‐based prevalence of myopia, hyperopia (≥ +2.00 D) and astigmatism was 5.3 per cent, 4.0 per cent and 5.4 per cent, respectively. Combined refractive error and myopia alone were higher in urban areas compared to rural areas (odds ratio [OR]: 2.27 [CI: 2.09–2.45]) and (OR: 2.12 [CI: 1.79–2.50]), respectively. The prevalence of combined refractive errors and myopia alone in schools was higher among girls than boys (OR: 1.2 [CI: 1.1–1.3] and OR: 1.1 [CI: 1.1–1.2]), respectively. However, hyperopia was more prevalent among boys than girls in schools (OR: 2.1 [CI: 1.8–2.4]). Refractive error in children in India is a major public health problem and requires concerted efforts from various stakeholders including the health care workforce, education professionals and parents, to manage this issue

Bridging climate science, policy, and communities: collaborative pathways for climate resilience in the Indo-Pacific

The Indo-Pacific region, a critical economic and geopolitical hub, faces intensifying climate risks, including accelerating sea-level rise, extreme weather events—particularly heatwaves amplified by rapid urbanization—and glacial retreat in the Hindu Kush Himalayas. While advancements in climate science have significantly improved future climate projections, gaps remain in translating this knowledge into actionable adaptation strategies. Barriers such as data inaccessibility, weak institutional and international coordination, and financial constraints hinder effective climate action. This study synthesizes existing climate knowledge for the Indo-Pacific region, emphasizing the need for localized, community-driven adaptation approaches. Key challenges include the vulnerability and exposure of coastal communities to sea-level rise, the limitations of current urban-scale climate modeling, and the underrepresentation of sociocultural factors in climate adaptation strategies. The integration of Artificial Intelligence (AI) and machine learning (ML) in climate models presents an opportunity to enhance urban climate resilience, while the incorporation of indigenous knowledge rooted in scientific principles offers a critical pathway to improving localized adaptation efforts. Additionally, science communication plays a pivotal role in ensuring that climate research reaches policymakers and communities in an accessible and actionable manner. We advocate for a paradigm shift from a linear value chain to a value cycle approach, where scientific insights inform policy and local contexts inform research priorities. By bridging climate science, policy, and communities through regional platforms such as the Indo-Pacific My Climate Risk Hub at the Indian Institute of Tropical Meteorology (IITM) Pune, India, this paper outlines pathways for collaborative climate action. This work proposes actionable strategies for regional resilience

Analysmetoder för fastställande av 60 spårelement i klosettvatten

Klosettvatten är en bra växtnäringskälla vid odling av energi- och fodergrödor, med kvalitet motsvarande nötflytgödsel ur växtnärings- och tungmetallsynpunkt. Genom att välja en kraftigare uppslutningsmetod, vätefluorid och salpetersyra, i kombination med matrisseparering, kan cirka 48 spårelement kvantifieras istället för ett tjugotal med dagens konventionella metoder

Masking Quantum Information is Impossible

Classical information encoded in composite quantum states can be completely hidden from the reduced subsystems and may be found only in the correlations. Can the same be true for quantum information? If quantum information is hidden from subsystems and spread over quantum correlation, we call it as masking of quantum information. We show that while this may still be true for some restricted sets of non-orthogonal quantum states, it is not possible for arbitrary quantum states. This result suggests that quantum qubit commitment -- a stronger version of the quantum bit commitment is not possible in general. Our findings may have potential applications in secret sharing and future quantum communication protocols.Comment: Term 'spookifying' changed to 'masking

Medicina clínica práctica

Today one cannot think of life without the Internet. The Internet has grown at a very fast pace, which has resulted in heavy Internet traffic. Most of today’s internet traffic is due to video streaming services such as YouTube and Netflix. The Average traffic load has risen, and data traffic patterns have also become unpredictable. Therefore, network traffic monitoring and analysis have become essential in order to troubleshoot and resolve problems effectively when they occur, so that network services do not stand still for long durations of time. Traffic monitoring is a technique which constantly monitors the network traffic and notifies the administrator whenever there is an outage. There are many network monitoring tools available for network administrators, which use different monitoring techniques in order to monitor and analyze network traffic. In this paper, we present different network monitoring approaches and different tools that monitor and analyze network traffic. In addition to this, we also present results by comparing different network monitoring tools