We summarize important recent advances in quantum metrology, in connection to experiments in cold gases, trapped cold atoms and photons. First we review simple metrological setups, such as quantum metrology with spin squeezed states, with Greenberger–Horne–Zeilinger states, Dicke states and singlet states. We calculate the highest precision achievable in these schemes. Then, we present the fundamental notions of quantum metrology, such as shot-noise scaling, Heisenberg scaling, the quantum Fisher information and the Cramér–Rao bound. Using these, we demonstrate that entanglement is needed to surpass the shot-noise scaling in very general metrological tasks with a linear interferometer. We discuss some applications of the quantum Fisher information, such as how it can be used to obtain a criterion for a quantum state to be a macroscopic superposition. We show how it is related to the speed of a quantum evolution, and how it appears in the theory of the quantum Zeno effect. Finally, we explain how uncorrelated noise limits the highest achievable precision in very general metrological tasks. This article is part of a special issue of Journal of Physics A: Mathematical and Theoretical devoted to ‘50 years of Bell’s theorem’.
Henry Sauermann, K. Vohland, Vyron Antoniou
et al.
Abstract Citizen Science (CS) projects involve members of the general public as active participants in research. While some advocates hope that CS can increase scientific knowledge production (“productivity view”), others emphasize that it may bridge a perceived gap between science and the broader society (“democratization view”). We discuss how an integration of both views can allow Citizen Science to support complex sustainability transitions in areas such as renewable energy, public health, or environmental conservation. We first identify three pathways through which such impacts can occur: (1) Problem identification and agenda setting; (2) Resource mobilization; and (3) Facilitating socio-technical co-evolution. To realize this potential, however, CS needs to address important challenges that emerge especially in the context of sustainability transitions: Increasing the diversity, level, and intensity of participation; addressing the social as well as technical nature of sustainability problems; and reducing tensions between CS and the traditional institution of academic science. Grounded in a review of academic literature and policy reports as well as a broad range of case examples, this article contributes to scholarship on science, innovation, and sustainability transitions. We also offer insights for actors involved in initiating or institutionalizing Citizen Science efforts, including project organizers, funding agencies, and policy makers.
Summary Technological developments have revolutionized measurements on plant genotypes and phenotypes, leading to routine production of large, complex data sets. This has led to increased efforts to extract meaning from these measurements and to integrate various data sets. Concurrently, machine learning has rapidly evolved and is now widely applied in science in general and in plant genotyping and phenotyping in particular. Here, we review the application of machine learning in the context of plant science and plant breeding. We focus on analyses at different phenotype levels, from biochemical to yield, and in connecting genotypes to these. In this way, we illustrate how machine learning offers a suite of methods that enable researchers to find meaningful patterns in relevant plant data.
Gully formation is a significant driver of soil erosion and land degradation worldwide and often leads to important downstream impacts. Nonetheless, our understanding of the global patterns and the factors controlling this process remains limited. Here, we present the first global assessment of gully density's spatial patterns. Using mapped observations from over 17,000 representative study sites worldwide, we trained random forest models that simulate both the susceptibility to gullying at a 1 km2 resolution and the corresponding gully head density (GHD). Through an interpretable machine learning framework, we demonstrate that global GHD patterns result from a combination of environmental factors with non-linear interactions, leading to significant regional variations in the dominant factors controlling GHD. We distinguish between gully hotspots driven primarily by natural factors such as topography, geomorphology, tectonics, pedology or climate and those where land use and land cover play a dominant role. Based on these insights, we identified critical global areas of gully erosion, i.e., hotspots where gully occurrence is likely highly sensitive to anthropogenic drivers. These include the Chinese Loess Plateau, the Ethiopian Highlands, and large parts of the Mediterranean and Sahel regions. Also desert regions are often characterized by high GHDs. However, in these cases, their occurrence is mainly driven by natural factors. The insights we provide are valuable to inform land management and targeted erosion mitigation strategies.
Lydia M. O’Sullivan, Clay J. Newton, Keith R. Underwood
et al.
In the bison industry, both heifers and bulls are marketed and harvested at various ages, generally ranging from 20 to 30 months. Bulls represent the greatest proportion of the slaughter mix, as the bison industry does not routinely castrate, leaving males intact throughout the growing and finishing phase. This practice makes bulls available for use during the breeding season prior to the finishing phase. Therefore, the objective of this study was to evaluate the influence of bull age and use in the breeding herd on carcass characteristics, meat quality, and sensory characteristics of bison bulls. Grass-finished bison bulls were assigned to one of two finishing treatments: 1) Young bulls (n = 98) finished on fall pasture and harvested at 30 months of age with no exposure to the breeding herd, or 2) Mature bulls (n = 24) finished on early summer pasture and harvested at 36 months of age following use in the breeding herd. Bison were harvested, carcass data were recorded, and striploins were collected for the analysis of meat quality attributes. Mature bulls had greater hot carcass weight, ribeye area, kidney fat percentage, and marbling score compared to Young bulls. Objective tenderness was affected by the interaction of postmortem aging and finishing treatment. Steaks from Young bison bulls were more tender at all aging time points compared to steaks from Mature bison bulls. Variation in tenderness between treatment groups was likely not due to differences in collagen, as total collagen was greater in steaks from Young bulls. Consumer panelists rated steaks from Mature bulls higher for toughness intensity and flavor liking and lower for off-flavor intensity. Trained panelists rated steaks from Young bulls higher for flavor intensity, while ratings for toughness and juiciness were increased for Mature bulls. Collectively, results from this study indicate that bulls used in the breeding herd and marketed at 36 months of age produced heavier carcasses. However, Mature bulls were tougher at all postmortem aging days and required 21 days of aging to reach an acceptable level of tenderness, which was detected by both trained and consumer panelists.
Dimensions is a partly free scholarly database launched by Digital Science in January 2018. Dimensions includes journal articles and citation counts, making it a potential new source of impact data. This article explores the value of Dimensions from an impact assessment perspective with an examination of Food Science research 2008-2018 and a random sample of 10,000 Scopus articles from 2012. The results include high correlations between citation counts from Scopus and Dimensions (0.96 by narrow field in 2012) as well as similar average counts. Almost all Scopus articles with DOIs were found in Dimensions (97% in 2012). Thus, the scholarly database component of Dimensions seems to be a plausible alternative to Scopus and the Web of Science for general citation analyses and for citation data in support of some types of research evaluations.
Many topics that scientists investigate speak to people’s ideological worldviews. We report three studies—including an analysis of large-scale survey data—in which we systematically investigate the ideological antecedents of general faith in science and willingness to support science, as well as of science skepticism of climate change, vaccination, and genetic modification (GM). The main predictors are religiosity and political orientation, morality, and science understanding. Overall, science understanding is associated with vaccine and GM food acceptance, but not climate change acceptance. Importantly, different ideological predictors are related to the acceptance of different scientific findings. Political conservatism best predicts climate change skepticism. Religiosity, alongside moral purity concerns, best predicts vaccination skepticism. GM food skepticism is not fueled by religious or political ideology. Finally, religious conservatives consistently display a low faith in science and an unwillingness to support science. Thus, science acceptance and rejection have different ideological roots, depending on the topic of investigation.
Abstract Background High uric acid levels play a critical role in cardiovascular disease pathophysiology, being closely linked to their occurrence, progression, and prognosis. To enhance prevention and treatment of hyperuricemia-related cardiovascular diseases, understanding underlying mechanisms and identifying novel therapeutic targets are essential. Methods A hyperuricemic mouse model was established, and transcriptomic analysis of myocardial tissue was conducted using RNA sequencing. The role of HMGCS2 in hyperuricemia-induced cardiomyocytes was investigated through HMGCS2 knockout. The transcriptional regulation of HMGCS2 by STAT3 was explored via STAT3 knockdown, overexpression, and dual-luciferase reporter assays. To further elucidate the role of the JAK2/STAT3/hmgcs2 signaling pathway in hyperuricemia-induced cardiomyocytes, we overexpressed HMGCS2 while intervening in the JAK2/STAT3 pathway in vitro. The therapeutic potential of targeting the JAK2/STAT3/HMGCS2 pathway was evaluated in hyperuricemic mice using STAT3 and JAK inhibitors to assess effects on cardiac dysfunction. Results RNA sequencing showed significant upregulation of HMGCS2 mRNA in hyperuricemic mouse cardiac tissue. Increased HMGCS2 protein levels were observed in cardiac tissue and AC16 cardiomyocytes. HMGCS2 knockdown alleviated uric acid-induced mitochondrial dysfunction, oxidative stress, and abnormal energy metabolism in AC16 cardiomyocytes. And high uric acid levels activate the IL-6/JAK2/STAT3 signaling pathway in AC16 cardiomyocytes, which regulates HMGCS2 expression. By modulating JAK2 and STAT3 expression and subsequently overexpressing HMGCS2, we identified the involvement of the JAK2/STAT3/HMGCS2 pathway in uric acid-induced mitochondrial dysfunction, oxidative stress, and energy metabolism abnormalities in AC16 cardiomyocytes. In vitro experiments demonstrated that intervention with the ruxolitinib and S3I-201 could ameliorate mitochondrial dysfunction, oxidative stress, and ATP levels in the heart tissue of hyperuricemic mice. Moreover, these treatments also reversed cardiac function abnormalities. Conclusions The JAK2/STAT3/HMGCS2 pathway may contributes to uric acid-induced cardiac dysfunction by affecting mitochondrial function, oxidative stress, and ATP metabolism, offering a potential therapeutic strategy for mitigating high uric acid-induced cardiac damage. Graphical Abstract Model of hyperuricemia-induced mitochondrial dysfunction and oxidative stress in cardiomyocytes involving JAK2/STAT3/HMGCS2 signaling.
Biological invasions are among the most challenging ecological and conservation riddles of our times. Fortunately, citizen science projects became a valuable tool to detect non-indigenous species (NIS), document their spread, prevent dispersion, and eradicate localized populations. We evaluated the most undisputed definitions of citizen science and proposed that a combination of two of them is a better reflection of what citizen science has become. Thus, citizen science is any environmental and/or biological data collection and analysis, including data quality control, undertaken by members of the general public, as individuals or as organized groups of citizens, with the guidance and/or assistance of scientists toward solving environmental and/or community questions. With this review, we also assessed how citizen science has been advancing biological invasions research and its focus, by analyzing 126 peer-reviewed articles that used citizen science methods or data concerning NIS. Most of the articles studied terrestrial species (68%) and terrestrial plants were the most studied group (22.7%). Surprisingly, most first detection reports were of non-indigenous marine fish probably due to the constraints in accessing aquatic ecosystems which delays the detection of new NIS. Citizen science projects running over broad geographical areas are very cost-effective for the early detection of NIS, regardless of the studied environment. We also discuss the applicability and need to adapt the methods and approaches toward the studied ecosystem and species, but also the profile of the participating citizens, their motivations, level of engagement, or social status. We recommend authors to better acknowledge the work done by contributing citizens, and the putative limitations of data generated by citizen science projects. The outreach planning of citizen science projects is also evaluated, including the use of dedicated web platforms vs. pre-existent and disseminated web platforms, while discussing how such outreach actions can be maximized. Lastly, we present a framework that contextualizes the contributions of citizen science, scientific research, and regional and national stakeholders toward the integrated management of biological invasions.
Kayla H Szymanik, Emily A Rex, Vamshikrishna R Pothireddy
et al.
Proper recognition of viral pathogens is an essential part of the innate immune response. A common viral replicative intermediate and chemical signal that cells use to identify pathogens is the presence of a triphosphorylated 5' end (5'ppp) RNA, which activates the cytosolic RNA sensor RIG-I and initiates downstream antiviral signaling. While 5'pppRNA generated by viral RNA-dependent RNA polymerases (RdRps) can be a potent activator of the immune response, endogenous RNA polymerase III (RNAPIII) transcripts can retain the 5'ppp generated during transcription and induce a RIG-I-mediated immune response. We have previously shown that host RNA triphosphatase dual-specificity phosphatase 11 (DUSP11) can act on both host and viral RNAs, altering their levels and reducing their ability to induce RIG-I activation. Our previous work explored how experimentally altered DUSP11 activity can impact immune activation, prompting further exploration into natural contexts of altered DUSP11 activity. Here, we have identified viral DUSP11 homologs (vDUSP11s) present in some avipoxviruses. Consistent with the known functions of host DUSP11, we have shown that expression of vDUSP11s: 1) reduces levels of endogenous RNAPIII transcripts, 2) reduces a cell's sensitivity to 5'pppRNA-mediated immune activation, and 3) restores virus infection defects seen in the absence of DUSP11. Our results identify a context where DUSP11 activity has been co-opted by viruses to alter RNA metabolism and influence the outcome of infection.
Koki Toyoda, Shunsuke Kimura, Keiichiro Maki
et al.
Effective gutta-percha/sealer removal is essential for predictable nonsurgical endodontic retreatment, but the effects of key operational parameters on nickel–titanium rotary removal instruments remain insufficiently understood. This study aimed to examine how varying downward loads and rotational speeds affect the removal efficiency and torque/force generation of the HyFlex Remover. Sixty transparent straight resin canals filled with gutta-percha and AH Plus sealer were prepared using the HyFlex Remover at two rotational speeds (400 and 800 rpm) and three downward loads (2, 3, and 4 N; <i>n</i> = 10/group). The removal rate, calculated using micro-computed tomography, as well as removal time, maximum force, maximum torque, and cumulative torque were recorded and evaluated using two-way analysis of variance with Bonferroni correction (α = 0.05). The removal rate was consistently higher at 400 rpm than at 800 rpm (<i>p</i> < 0.001), while removal time and cumulative torque were greater at 400 rpm (<i>p</i> < 0.001). Maximum torque differed only between the 800-2 N and 800-4 N groups (<i>p</i> = 0.006). Maximum force increased with higher loads (<i>p</i> < 0.001), and at 3 N and 4 N, it was lower at 400 rpm than at 800 rpm (3 N: <i>p</i> = 0.039, 4 N: <i>p</i> < 0.001). Overall, lower downward loads reduced torque but prolonged working time, whereas higher rotational speeds shortened both working time and torque but decreased the removal rate.
Background. Domestic diplomacy and international legal science played a leading role in the formation of the institution of peaceful resolution of international disputes. It was Russia that initiated two Hague Peace Conferences in 1899 and 1907. However, this issue has not received sufficient attention from domestic and foreign researchers, the latter, however, actively studied the role of the United States, Great Britain, France and other countries in terms of the development of the institution of peaceful resolution of international disputes. In this regard, the study of the content and results of the Second Peace Conference and its historical significance seems relevant and scientifically significant. The purpose of the work is to identify the main directions and achievements of the Hague Peace Conference of 1907 in the context of the development of the institution of peaceful resolution of international disputes. Materials and methods. These objectives are achieved by analyzing the official materials of the 1907 Hague Peace Conference, official acts of the Russian Ministry of Foreign Affairs, assessments of the conference's achievements given by its participants themselves, as well as international treaties and scientific literature. Results. The work analyzes the work and results of the 1907 forum from the point of view of the development of the institution of peaceful resolution of international disputes. Conclu-sions. The study allows us to draw a conclusion about the special role of Russian diplomacy and international legal science in the codification of the institution of peaceful resolution of international disputes and the progressive development of international law in general.
This paper surveys the use of Generative AI tools, such as ChatGPT and Claude, in computer science education, focusing on key aspects of accuracy, authenticity, and assessment. Through a literature review, we highlight both the challenges and opportunities these AI tools present. While Generative AI improves efficiency and supports creative student work, it raises concerns such as AI hallucinations, error propagation, bias, and blurred lines between AI-assisted and student-authored content. Human oversight is crucial for addressing these concerns. Existing literature recommends adopting hybrid assessment models that combine AI with human evaluation, developing bias detection frameworks, and promoting AI literacy for both students and educators. Our findings suggest that the successful integration of AI requires a balanced approach, considering ethical, pedagogical, and technical factors. Future research may explore enhancing AI accuracy, preserving academic integrity, and developing adaptive models that balance creativity with precision.
In the current paper, we argue that to get a better understanding of the psychological antecedents of COVID-related science skepticism, it is pivotal to review what is known about the (social) psychology of science skepticism. Recent research highlighting the role of ideologies and worldviews in shaping science skepticism can inform research questions as well as pandemic responses to COVID-19. It is likely that the antecedents of general COVID-19-related skepticism substantially overlap with the antecedents of climate change skepticism. Additionally, skepticism about a potential vaccine in particular will likely be fueled by similar worries and misperceptions to those shaping more general antivaccination attitudes, of which conspiracy thinking is particularly worth highlighting. We conclude by reflecting on how the COVID-19 crisis may shape future social-psychological research aimed at understanding trust in science and science skepticism.
People have a tendency to disregard information that contradicts their partisan or ideological identity. This inclination can become especially striking when citizens reject notions that scientists would consider “facts” in the light of overwhelming scientific evidence and consensus. The resulting polarization over science has reached alarming levels in recent years. This theoretical review conceptualizes political polarization over science and argues that it is driven by two interrelated processes. Through psychological science rejection, people can implicitly disregard scientific facts that are inconsistent with their political identity. Alternatively, citizens can engage in ideological science rejection by adhering to a political ideology that explicitly contests science. This contestation can in turn be subdivided into four levels of generalization: An ideology can dispute either specific scientific claims, distinct research fields, science in general, or the entire political system and elite. By proposing this interdisciplinary framework, this article aims to integrate insights from various disciplines.