Scientists as spies?: Assessing U.S. claims about the security threat posed by China's Thousand Talents Program for the U.S. life sciences.

In 2008, the Chinese government created the Thousand Talents Program (TTP) to recruit overseas expertise to build up China's science and technology knowledge and innovation base. Ten years later, in 2018, the Federal Bureau of Investigation (FBI) announced a new "China Initiative" that aimed to counter the transfer by U.S.-based scientists involved in the TTP of knowledge and intellectual property that could support China's military and economic might and pose threats to U.S. national security. This initiative launched a number of investigations into major U.S. federal funding agencies and universities and charged several scientists, many of them life scientists, with failing to accurately report their work and affiliations with Chinese entities and illegally transferring scientific information to China. Although the FBI cases demonstrate a clear problem with disclosure of foreign contracts and research integrity among some TTP recipients, they have failed to demonstrate any harm to U.S. national security interests. At the heart of this controversy are core questions that remain unresolved and need more attention: What is required to transfer and develop knowledge to further a country's science and technology ambitions? And can the knowledge acquired by a visiting scientist be easily used to further a country's ambitions? Drawing on literature from the field of science and technology studies, this article discusses the key issues that should be considered in evaluating this question in the Chinese context and the potential scientific, intelligence, and policy implications of knowledge transfer as it relates to the TTP.

Functional Nanomaterials Enhancing Electrochemical Biosensors as Smart Tools for Detecting Infectious Viral Diseases.

Electrochemical biosensors are known as analytical tools, guaranteeing rapid and on-site results in medical diagnostics, food safety, environmental protection, and life sciences research. Current research focuses on developing sensors for specific targets and addresses challenges to be solved before their commercialization. These challenges typically include the lowering of the limit of detection, the widening of the linear concentration range, the analysis of real samples in a real environment and the comparison with a standard validation method. Nowadays, functional nanomaterials are designed and applied in electrochemical biosensing to support all these challenges. This review will address the integration of functional nanomaterials in the development of electrochemical biosensors for the rapid diagnosis of viral infections, such as COVID-19, middle east respiratory syndrome (MERS), influenza, hepatitis, human immunodeficiency virus (HIV), and dengue, among others. The role and relevance of the nanomaterial, the type of biosensor, and the electrochemical technique adopted will be discussed. Finally, the critical issues in applying laboratory research to the analysis of real samples, future perspectives, and commercialization aspects of electrochemical biosensors for virus detection will be analyzed.

Ångström-resolution fluorescence microscopy.

Fluorescence microscopy, with its molecular specificity, is one of the major characterization methods used in the life sciences to understand complex biological systems. Super-resolution approaches1-6 can achieve resolution in cells in the range of 15 to 20 nm, but interactions between individual biomolecules occur at length scales below 10 nm and characterization of intramolecular structure requires Ångström resolution. State-of-the-art super-resolution implementations7-14 have demonstrated spatial resolutions down to 5 nm and localization precisions of 1 nm under certain in vitro conditions. However, such resolutions do not directly translate to experiments in cells, and Ångström resolution has not been demonstrated to date. Here we introdue a DNA-barcoding method, resolution enhancement by sequential imaging (RESI), that improves the resolution of fluorescence microscopy down to the Ångström scale using off-the-shelf fluorescence microscopy hardware and reagents. By sequentially imaging sparse target subsets at moderate spatial resolutions of >15 nm, we demonstrate that single-protein resolution can be achieved for biomolecules in whole intact cells. Furthermore, we experimentally resolve the DNA backbone distance of single bases in DNA origami with Ångström resolution. We use our method in a proof-of-principle demonstration to map the molecular arrangement of the immunotherapy target CD20 in situ in untreated and drug-treated cells, which opens possibilities for assessing the molecular mechanisms of targeted immunotherapy. These observations demonstrate that, by enabling intramolecular imaging under ambient conditions in whole intact cells, RESI closes the gap between super-resolution microscopy and structural biology studies and thus delivers information key to understanding complex biological systems.

Laser Application in Life Sciences.

Since their invention by Theodore Maiman in 1960, lasers represent a class of light sources based on the stimulated emission of radiation in the visible, ultraviolet or infrared spectral range [...].

Prioritization of the concepts and skills in quantitative education for graduate students in biomedical science.

Substantial guidance is available on undergraduate quantitative training for biologists, including reports focused on biomedical science. Far less attention has been paid to the graduate curriculum and the particular challenges of the diversity of specialization within the life sciences. We propose an innovative approach to quantitative education that goes beyond recommendations of a course or set of courses or activities, derived from analysis of the expectations for students in particular programs. Due to the plethora of quantitative methods, it is infeasible to expect that biomedical PhD students can be exposed to more than a minority of the quantitative concepts and techniques employed in modern biology. We collected key recent papers suggested by the faculty in biomedical science programs, chosen to include important scientific contributions that the faculty consider appropriate for all students in the program to be able to read with confidence. The quantitative concepts and methods inherent in these papers were then analyzed and categorized to provide a rational basis for prioritization of those concepts to be emphasized in the education program. This novel approach to prioritization of quantitative skills and concepts provides an effective method to drive curricular focus based upon program-specific faculty input for science programs of all types. The results of our particular application to biomedical science training highlight the disconnect between typical undergraduate quantitative education for life science students, focused on continuous mathematics, and the concepts and skills in graphics, statistics, and discrete mathematics that arise from priorities established by biomedical science faculty. There was little reference in the key recent papers chosen by faculty to classic mathematical areas such as calculus which make up a large component of the formal undergraduate mathematics training of graduate students in biomedical areas.

Timeless spaces: Field experiments in the physiological study of circadian rhythms, 1938-1963.

In the middle of the twentieth century, physiologists interested in human biological rhythms undertook a series of field experiments in natural spaces that they believed could closely approximate conditions of biological timelessness. With the field of rhythms research was still largely on the fringes of the life sciences, natural spaces seemed to offer unique research opportunities beyond what was available to physiologists in laboratory spaces. In particular, subterranean caves and the High Arctic became archetypal 'natural laboratories' for the study of human circadian (daily) rhythms. This paper is explores the field experiments which occurred in these 'timeless spaces'. It considers how scientists understood these natural spaces as suitably 'timeless' for studying circadian rhythms and what their experimental practices can tell us about contemporary physiological notions of biological time, especially its relationship to 'environmentality' (Formosinho et al. in Stud History Philos Sci 91:148-158, 2022). In so doing, this paper adds to a growing literature on the interrelationship of field sites by demonstrating the ways that caves and the Arctic were connected by rhythms scientists. Finally, it will explore how the use of these particular spaces were not just scientific but also political - leveraging growing Cold War anxieties about nuclear fallout and the space race to bring greater prestige and funding to the study of circadian rhythms in its early years.

Improving University Life Science Instruction with Analogies: Insights from a Course for Graduate Teaching Assistants.

concepts dominate university science teaching, and much of this content is taught without sufficient connection to students' prior knowledge or everyday experiences. As this can be problematic for students, the aim of this research was to determine the utility and effectiveness of a professional development module on using analogies to make these important connections for learning. We conducted qualitative content analysis of analogies in teaching plans designed by 75 graduate teaching assistants who participated in the module between 2018 and 2021. The module is part of a course on Teaching Science at University (TSU) and pairs cognitive science with a structured analogy design tool, originally developed for K-12 education. Most course participants used the tool systematically and developed analogies linking abstract science target concepts with students' everyday experiences; however, some analogies contained a high cognitive load or unaddressed anthropomorphic logic that might negatively impact learning. Participants' reflections on their learning in the module suggested a new awareness of the need for planning and for active student discussion of analogies, particularly where they break down. This research has shown that TSU's stepwise guidance using a structured pedagogical tool for planning and teaching with analogies is highly suitable for higher education.

Fatty acids as histone deacetylase inhibitors: Old biochemistry tales in a new life sciences town.

Histone acetylation is a key epigenetic event. Although the keywords fatty acids, histones, and histone acetylation have a long history in biochemistry, these topics continue to attract much attention among researchers. The acetylation of histones is controlled by the activities of histone acetyltransferases (HATs) and histone deacetylases (HDACs). An imbalance in the activities of HATs and HDACs is common in a range of human cancers. Histone deacetylase inhibitors (HDACi) can restore dysregulated histone acetylation profiles in cancer cells and have been identified as promising anti-cancer therapeutics. Short-chain fatty acids mediate anti-cancer effects by inhibiting the activity of HDACs. Recent studies have identified odd-chain fatty acids as novel HDACi. This review summarizes recent findings regarding fatty acids as HDACi in cancer therapy.

Modular microfluidics for life sciences.

The advancement of microfluidics has enabled numerous discoveries and technologies in life sciences. However, due to the lack of industry standards and configurability, the design and fabrication of microfluidic devices require highly skilled technicians. The diversity of microfluidic devices discourages biologists and chemists from applying this technique in their laboratories. Modular microfluidics, which integrates the standardized microfluidic modules into a whole, complex platform, brings the capability of configurability to conventional microfluidics. The exciting features, including portability, on-site deployability, and high customization motivate us to review the state-of-the-art modular microfluidics and discuss future perspectives. In this review, we first introduce the working mechanisms of the basic microfluidic modules and evaluate their feasibility as modular microfluidic components. Next, we explain the connection approaches among these microfluidic modules, and summarize the advantages of modular microfluidics over integrated microfluidics in biological applications. Finally, we discuss the challenge and future perspectives of modular microfluidics.

Twitter as research data Tools, costs, skill sets, and lessons learned.

Scholars increasingly use Twitter data to study the life sciences and politics. However, Twitter data collection tools often pose challenges for scholars who are unfamiliar with their operation. Equally important, although many tools indicate that they offer representative samples of the full Twitter archive, little is known about whether the samples are indeed representative of the targeted population of tweets. This article evaluates such tools in terms of costs, training, and data quality as a means to introduce Twitter data as a research tool. Further, using an analysis of COVID-19 and moral foundations theory as an example, we compared the distributions of moral discussions from two commonly used tools for accessing Twitter data (Twitter's standard APIs and third-party access) to the ground truth, the Twitter full archive. Our results highlight the importance of assessing the comparability of data sources to improve confidence in findings based on Twitter data. We also review the major new features of Twitter's API version 2.

Introduction to the Special Issue-Life Science in Politics: Methodological Innovations and Political Issues.

We introduce the Special Issue on Life Science in Politics: Methodological Innovations and Political Issues. This issue of Politics and the Life Sciences is focused on the use of life science theory and methods to study political phenomena and the exploration of the intersection of science and political attitudes. This issue is the third in a series of special issues funded by the Association for Politics and the Life Sciences that adheres to the Open Science Framework for registered reports. Pre-analysis plans are peer reviewed and given in-principle acceptance before data are collected and/or analyzed, and the articles are published contingent upon the preregistration of the study being followed as proposed. We note various interpretations and challenges associated with studying the science of politics and discuss the contributions.

A low-cost smartphone fluorescence microscope for research, life science education, and STEM outreach.

Much of our understanding of cell and tissue development, structure, and function stems from fluorescence microscopy. The acquisition of colorful and glowing images engages and excites users ranging from seasoned microscopists to STEM students. Fluorescence microscopes range in cost from several thousand to several hundred thousand US dollars. Therefore, the use of fluorescence microscopy is typically limited to well-funded institutions and biotechnology companies, research core facilities, and medical laboratories, but is financially impractical at many universities and colleges, primary and secondary schools (K-12), and in science outreach settings. In this study, we developed and characterized components that when used in combination with a smartphone or tablet, perform fluorescence microscopy at a cost of less than $50 US dollars per unit. We re-purposed recreational LED flashlights and theater stage lighting filters to enable viewing of green and red fluorophores including EGFP, DsRed, mRFP, and mCherry on a simple-to-build frame made of wood and plexiglass. These devices, which we refer to as glowscopes, were capable of 10 µm resolution, imaging fluorescence in live specimens, and were compatible with all smartphone and tablet models we tested. In comparison to scientific-grade fluorescence microscopes, glowscopes may have limitations to sensitivity needed to detect dim fluorescence and the inability to resolve subcellular structures. We demonstrate capability of viewing fluorescence within zebrafish embryos, including heart rate, rhythmicity, and regional anatomy of the central nervous system. Due to the low cost of individual glowscope units, we anticipate this device can help to equip K-12, undergraduate, and science outreach classrooms with fleets of fluorescence microscopes that can engage students with hands-on learning activities.

Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines.

We investigate the degree to which impact in science and technology is associated with surprising breakthroughs, and how those breakthroughs arise. Identifying breakthroughs across science and technology requires models that distinguish surprising from expected advances at scale. Drawing on tens of millions of research papers and patents across the life sciences, physical sciences and patented inventions, and using a hypergraph model that predicts realized combinations of research contents (article keywords) and contexts (cited journals), here we show that surprise in terms of unexpected combinations of contents and contexts predicts outsized impact (within the top 10% of citations). These surprising advances emerge across, rather than within researchers or teams-most commonly when scientists from one field publish problem-solving results to an audience from a distant field. Our approach characterizes the frontier of science and technology as a complex hypergraph drawn from high-dimensional embeddings of research contents and contexts, and offers a measure of path-breaking surprise in science and technology.

Current Insights.

The Current Insights feature is designed to introduce life science educators and researchers to current articles of interest in other social science and education journals. In this installment, I highlight three recent studies from the fields of psychology and science, technology, engineering, and mathematics education that can inform life science education. The first characterizes how instructor beliefs about intelligence are communicated to students in the classroom. The second explores how instructor identity as a researcher may lead to different types of teaching identities. The third presents an alternative way to characterize students' success that is based in Latinx college student values.

Identifying Group Work Experiences That Increase Students' Self-Efficacy for Quantitative Biology Tasks.

Quantitative skills are a critical competency for undergraduates pursuing life science careers. To help students develop these skills, it is important to build their self-efficacy for quantitative tasks, as this ultimately affects their achievement. Collaborative learning can benefit self-efficacy, but it is unclear what experiences during collaborative learning build self-efficacy. We surveyed introductory biology students about self-efficacy-building experiences they had during collaborative group work on two quantitative biology assignments and examined how students' initial self-efficacy and gender/sex related to the experiences they reported. Using inductive coding, we analyzed 478 responses from 311 students and identified five group work experiences that increased students' self-efficacy: accomplishing the problems, getting help from peers, confirming answers, teaching others, and consulting with a teacher. Higher initial self-efficacy significantly increased the odds (odds ratio: 1.5) of reporting that accomplishing the problems benefited self-efficacy, whereas lower initial self-efficacy significantly increased the odds (odds ratio: 1.6) of reporting peer help benefited self-efficacy. Gender/sex differences in reporting peer help appeared to be related to initial self-efficacy. Our results suggest that structuring group work to facilitate collaborative discussions and help-seeking behaviors among peers may be particularly beneficial for building self-efficacy in low self-efficacy students.

Searching and Evaluating Publications and Preprints Using Europe PMC.

In the field of life sciences there is a growing need for literature analysis tools that help scientists tackle information overload. Europe PubMed Central (Europe PMC), a partner of PubMed Central (PMC; National Library of Medicine, 2022), is an open access database of over 41 million life science publications and preprints, enriched with supporting data, reviews, protocols, and other relevant resources. Europe PMC is a trusted repository of choice for many life science funders (Europe PMC, 2022a), offering a suite of innovative search tools that allow users to search and evaluate the literature, including finding highly cited articles, preprints with community peer reviews, or papers referencing a proteomics dataset in the figure legend. In addition, Europe PMC utilizes text-mining to help researchers identify key terms and find data and evidence in the literature. First-time users often do not utilize the wealth of tools Europe PMC offers and can feel overwhelmed about how to perform the most effective search. This protocol, describing how to search and evaluate publications and preprints using Europe PMC, demonstrates how to carry out more efficient and effective literature searches using the tools provided by Europe PMC. This includes discovering the latest findings on a research topic, following research from a specific author, journal, or preprint server, exploring literature on a new method, expanding your reading list with relevant articles, as well as accessing and evaluating publications and preprints of interest. © 2023 EMBL-EBI. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Finding articles and preprints on a topic of interest Basic Protocol 2: Accessing an article Basic Protocol 3: Browsing the article Basic Protocol 4: Evaluating the article Basic Protocol 5: Refining search results Basic Protocol 6: Finding research by author Basic Protocol 7: Finding a specific article Basic Protocol 8: Finding information about a methodology Basic Protocol 9: Finding evidence of biological interactions, relations, and modifications Basic Protocol 10: Finding data behind a publication Basic Protocol 11: Expanding a reading list and building a bibliography Basic Protocol 12: Staying on top of the current literature.

The paradox of the life sciences: How to address climate change in the lab: How to address climate change in the lab.

Addressing climate change and sustainability starts with individuals and moves up to institutional change. Here is what we as scientists in the life sciences can do to enact change.

ncDENSE: a novel computational method based on a deep learning framework for non-coding RNAs family prediction.

BACKGROUND: Although research on non-coding RNAs (ncRNAs) is a hot topic in life sciences, the functions of numerous ncRNAs remain unclear. In recent years, researchers have found that ncRNAs of the same family have similar functions, therefore, it is important to accurately predict ncRNAs families to identify their functions. There are several methods available to solve the prediction problem of ncRNAs family, whose main ideas can be divided into two categories, including prediction based on the secondary structure features of ncRNAs, and prediction according to sequence features of ncRNAs. The first type of prediction method requires a complicated process and has a low accuracy in obtaining the secondary structure of ncRNAs, while the second type of method has a simple prediction process and a high accuracy, but there is still room for improvement. The existing methods for ncRNAs family prediction are associated with problems such as complicated prediction processes and low accuracy, in this regard, it is necessary to propose a new method to predict the ncRNAs family more perfectly. RESULTS: A deep learning model-based method, ncDENSE, was proposed in this study, which predicted ncRNAs families by extracting ncRNAs sequence features. The bases in ncRNAs sequences were encoded by one-hot coding and later fed into an ensemble deep learning model, which contained the dynamic bi-directional gated recurrent unit (Bi-GRU), the dense convolutional network (DenseNet), and the Attention Mechanism (AM). To be specific, dynamic Bi-GRU was used to extract contextual feature information and capture long-term dependencies of ncRNAs sequences. AM was employed to assign different weights to features extracted by Bi-GRU and focused the attention on information with greater weights. Whereas DenseNet was adopted to extract local feature information of ncRNAs sequences and classify them by the full connection layer. According to our results, the ncDENSE method improved the Accuracy, Sensitivity, Precision, F-score, and MCC by 2.08[Formula: see text], 2.33[Formula: see text], 2.14[Formula: see text], 2.16[Formula: see text], and 2.39[Formula: see text], respectively, compared with the suboptimal method. CONCLUSIONS: Overall, the ncDENSE method proposed in this paper extracts sequence features of ncRNAs by dynamic Bi-GRU and DenseNet and improves the accuracy in predicting ncRNAs family and other data.

Vibrational coupling with O-H stretching increases catalytic efficiency of sucrase in Fabry-Pérot microcavity.

Vibrational strong coupling (VSC) has been reported as a polariton-based method for modulating the rate of biochemical reactions. Herein, we studied how VSC modulates the sucrose hydrolysis. By monitoring the refractive index-induced shift of Fabry-Pérot microcavity, in which the catalytic efficiency of sucrose hydrolysis can be increased at least two times, as VSC was tuned to resonate with the stretching vibration of O-H bonds. This research provides new evidence for applying VSC in life sciences, which holds great promise to improving enzymatic industries.

In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening.

The evolution of preclinical in vitro cancer models has led to the emergence of human cancer-on-chip or microphysiological analysis platforms (MAPs). Although it has numerous advantages compared to other models, cancer-on-chip technology still faces several challenges such as the complexity of the tumor microenvironment and integrating multiple organs to be widely accepted in cancer research and therapeutics. In this review, we highlight the advancements in cancer-on-chip technology in recapitulating the vital biological features of various cancer types and their applications in life sciences and high-throughput drug screening. We present advances in reconstituting the tumor microenvironment and modeling cancer stages in breast, brain, and other types of cancer. We also discuss the relevance of MAPs in cancer modeling and precision medicine such as effect of flow on cancer growth and the short culture period compared to clinics. The advanced MAPs provide high-throughput platforms with integrated biosensors to monitor real-time cellular responses applied in drug development. We envision that the integrated cancer MAPs has a promising future with regard to cancer research, including cancer biology, drug discovery, and personalized medicine.