Discovering 3D Hidden Elasticity in Isotropic and Transversely Isotropic Materials with Physics-informed UNets.

Three-dimensional variation in structural components or fiber alignments results in complex mechanical property distribution in tissues and biomaterials. In this paper, we use a physics-informed UNet-based neural network model (El-UNet) to discover the three-dimensional (3D) internal composition and space-dependent material properties of heterogeneous isotropic and transversely isotropic materials without a priori knowledge of the composition. We then show the capabilities of El-UNet by validating against data obtained from finite-element simulations of two soft tissues, namely, brain tissue and articular cartilage, under various loading conditions. We first simulated compressive loading of 3D brain tissue comprising of distinct white matter and gray matter mechanical properties undergoing small strains with isotropic linear elastic behavior, where El-UNet reached mean absolute relative errors under 1.5% for elastic modulus and Poisson's ratio estimations across the 3D volume. We showed that the 3D solution achieved by El-UNet was superior to relative stiffness mapping by inverse of axial strain and two-dimensional plane stress/plane strain approximations. Additionally, we simulated a transversely isotropic articular cartilage with known fiber orientations undergoing compressive loading, and accurately estimated the spatial distribution of all five material parameters, with mean absolute relative errors under 5%. Our work demonstrates the application of the computationally efficient physics-informed El-UNet in 3D elasticity imaging and provides methods for translation to experimental 3D characterization of soft tissues and other materials. The proposed El-UNet offers a powerful tool for both in vitro and ex vivo tissue analysis, with potential extensions to in vivo diagnostics. STATEMENT OF SIGNIFICANCE: Elasticity imaging is a technique that reconstructs mechanical properties of tissue using deformation and force measurements. Given the complexity of this reconstruction, most existing methods have mostly focused on 2D problems. Our work is the first implementation of physics-informed UNets to reconstruct three-dimensional material parameter distributions for isotropic and transversely isotropic linear elastic materials by having deformation and force measurements. We comprehensively validate our model using synthetic data generated using finite element models of biological tissues with high bio-fidelity-the brain and articular cartilage. Our method can be implemented in elasticity imaging scenarios for in vitro and ex vivo mechanical characterization of biomaterials and biological tissues, with potential extensions to in vivo diagnostics.

EquipSent - Enabling Sustainable Education, Everywhere.

EquipSent is a volunteer-based non-profit organization aiming at creating conditions for sustainable teaching, study, and academic research worldwide. Used, functional equipment is collected by its members, who are responsible for matching the donations with the receivers in need. After starting in 2017, nine big transfers were accomplished that significantly impacted the quality of local scientific and educational life. In this article, we show how EquipSent as an organization strives to align with the Sustainable Development Goals (SDG) in Chemistry in Switzerland.

Finding Joy in Science.

This piece discusses the importance of sustainable education within the framework of the UN's 2030 Agenda for Sustainable Development. We emphasize the need to foster a lifelong love for learning by instilling curiosity, emotional bonds, and joy in students. We suggest simplifying teaching methods to maximize depth of understanding, integrating wonder and emotion into scientific education, promoting vertical exploration rather than just covering knowledge horizontally, and fostering resilience and independence through experiential learning. We also advocate for collaborative learning environments and incorporating real-world projects into education. Ultimately, the goal is to create spaces where students can explore, experience joy, and develop a lasting passion for learning.

Palliative Pharmacotherapy for Cardiovascular Disease: A Scientific Statement From the American Heart Association.

Cardiovascular disease exacts a heavy toll on health and quality of life and is the leading cause of death among people ≥65 years of age. Although medical, surgical, and device therapies can certainly prolong a life span, disease progression from chronic to advanced to end stage is temporally unpredictable, uncertain, and marked by worsening symptoms that result in recurrent hospitalizations and excessive health care use. Compared with other serious illnesses, medication management that incorporates a palliative approach is underused among individuals with cardiovascular disease. This scientific statement describes palliative pharmacotherapy inclusive of cardiovascular drugs and essential palliative medicines that work synergistically to control symptoms and enhance quality of life. We also summarize and clarify available evidence on the utility of guideline-directed and evidence-based medical therapies in individuals with end-stage heart failure, pulmonary arterial hypertension, coronary heart disease, and other cardiomyopathies while providing clinical considerations for de-escalating or deprescribing. Shared decision-making and goal-oriented care are emphasized and considered quintessential to the iterative process of patient-centered medication management across the spectrum of cardiovascular disease.

Towards an interdisciplinary "science of the mind": A call for enhanced collaboration between philosophy and neuroscience.

In recent decades, the neuroscientific community has moved from describing the neural underpinnings of mental phenomena-as characterized by experimental psychology and philosophy of mind-to attempting to redefine those mental phenomena based on neural findings. Nowadays, many are intrigued by the idea that neuroscience might provide the "missing piece" that would allow philosophers (and, to an extent, psychologists, too) to make important advances, generating new means that these disciplines lack to close knowledge gaps and answer questions like "What is Free Will?" and "Do humans have it?." In this paper, we argue that instead of striving for neuroscience to replace philosophy in the ongoing quest to understanding human thought and behavior, more synergetic relations should be established, where neuroscience does not only inspire philosophy but also draws from it. We claim that such a collaborative coevolution, with the two disciplines nourishing and influencing each other, is key to resolving long-lasting questions that have thus far proved impenetrable for either discipline on its own.

Social Justice and the Political Organization of Behavior Analysts: Changing the Institutional Practices of a Brazilian Association.

Given the advancement of behavioral research in culture and social behavior, it seems natural for the community of behavior analysts to progress towards increased political engagement and a dedication to social justice. To reach this goal, it is necessary to act inside one's own communities and organizations. The purpose of this article is to report on the efforts of the Brazilian Association for Behavioral Psychology and Medicine (ABPMC) to increase equity and social justice during the 2017-2018 term. First, we present an overview of the ABPMC. Next, we describe the process of identifying, planning, and implementing equity and social justice actions in the association. The problems targeted were the discontinuation of policies from one term to another, elitism and centralization, the lack of topics with social and political relevance in the annual conference's scientific program, and the lack of support for the participation of women (especially mothers) in clinical and academic practice. Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-020-00510-2.

How to fight fake papers: a review on important information sources and steps towards solution of the problem.

Scientific fake papers, containing manipulated or completely fabricated data, are a problem that has reached dramatic dimensions. Companies known as paper mills (or more bluntly as "criminal science publishing gangs") produce and sell such fake papers on a large scale. The main drivers of the fake paper flood are the pressure in academic systems and (monetary) incentives to publish in respected scientific journals and sometimes the personal desire for increased "prestige." Published fake papers cause substantial scientific, economic, and social damage. There are numerous information sources that deal with this topic from different points of view. This review aims to provide an overview of these information sources until June 2024. Much more original research with larger datasets is needed, for example on the extent and impact of the fake paper problem and especially on how to detect them, as many findings are based more on small datasets, anecdotal evidence, and assumptions. A long-term solution would be to overcome the mantra of publication metrics for evaluating scientists in academia.

Experimentation in cosmology: Intervening on the whole universe.

There are many arguments against the possibility of experimenting on the whole universe. This system seems to be too big to be manipulated, it exists in only one exemplar and its evolution is a non-repeatable process. In this paper, I claim that we can nonetheless talk about experimentation in cosmology if we use Woodward's non-anthropocentric notion of intervention. However, Woodward and other interventionists argued that an intervention was necessarily an exogenous causal process and thus that no intervention on a closed system such as the universe was possible. I discuss their argument and I determine the conditions under which a consistent notion of endogenous intervention on the universe can be defined. Then, I show that there is at least one cosmic phenomenon satisfying these conditions: the photon decoupling. Finally, I draw some conclusions from this analysis regarding a realist approach of cosmology.

A Brief Overview of the Development and Significance of Modern Scientific Medicine in China: Take Chinese Academy of Medical Science and Peking Union Medical College as an example.

Since the early 20th century, China has gradually established a clinical, educational, and research system centered around modern scientific medicine, which has now become the dominant force in China's medical and health system and services, with the construction and development of the Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC) as the most prominent symbol. The scientific medicine in the new era require close cooperation across multiple disciplines and fields to build a high-quality and efficient medical and health service system. It also involves combining the excellent traditional Chinese culture with Western modern medicine to explore a unique path of modern scientific medicine with Chinese characteristics.

Cognitive styles and psi: psi researchers are more similar to skeptics than to lay believers.

Introduction: Belief in psi, which includes psychic phenomena such as extra-sensory perception and post-mortem survival, is widespread yet controversial. According to one of the leading and perhaps most tested hypotheses, high belief in psi can be explained by differences in various aspects of cognition, including cognitive styles. Most of this research has been conducted with lay individuals. Here, we tested the hypothesis that academic researchers who investigate psi may exhibit different cognitive styles than lay individuals interested in psi, and are more similar to skeptics. Methods: We measured two cognitive styles-actively open-minded thinking (AOT) and the need for closure (NFC)-and assessed differences among four heterogeneous groups regarding belief in psi and involvement in related research. Specifically, our study included academic psi researchers (N = 44), lay individuals who believe in psi (N = 32), academics who are skeptics of psi (N = 35), and lay individuals who are skeptics (N = 33). Results: We found group differences in AOT (p = 0.003) but not in NFC scores (p = 0.67). Post hoc tests showed no significant difference in AOT scores between academics who conduct psi research (4.5 ± 0.3) and academic skeptics (4.5 ± 0.3; p = 0.91) or lay skeptics (4.5 ± 0.4; p = 0.80). The lay psi group had significantly lower AOT scores (4.2 ± 0.4) than the other three groups (ps: 0.005-0.04), indicating a decreased willingness to consider a range of evidence when forming an opinion, including evidence that challenges their beliefs. AOT was negatively associated with psi belief in the two skeptic groups combined (r = -0.29, p = 0.01), but not in the psi groups (r = -0.03, p = 0.78). Discussion: Our research shows that academics who work with psi differ from lay psi individuals, but not from skeptics, in actively open-minded thinking. In other words, despite their high belief in psi phenomena, psi researchers demonstrate a commitment to sound reasoning about evidence that is no different from that of skeptics.

Organoids in gastrointestinal diseases: from bench to clinic.

The etiology of gastrointestinal (GI) diseases is intricate and multifactorial, encompassing complex interactions between genetic predisposition and gut microbiota. The cell fate change, immune function regulation, and microenvironment composition in diseased tissues are governed by microorganisms and mutated genes either independently or through synergistic interactions. A comprehensive understanding of GI disease etiology is imperative for developing precise prevention and treatment strategies. However, the existing models used for studying the microenvironment in GI diseases-whether cancer cell lines or mouse models-exhibit significant limitations, which leads to the prosperity of organoids models. This review first describes the development history of organoids models, followed by a detailed demonstration of organoids application from bench to clinic. As for bench utilization, we present a layer-by-layer elucidation of organoid simulation on host-microbial interactions, as well as the application in molecular mechanism analysis. As for clinical adhibition, we provide a generalized interpretation of organoid application in GI disease simulation from inflammatory disorders to malignancy diseases, as well as in GI disease treatment including drug screening, immunotherapy, and microbial-targeting and screening treatment. This review draws a comprehensive and systematical depiction of organoids models, providing a novel insight into the utilization of organoids models from bench to clinic.

A comparison of the top 500 papers in Clinical Nutrition ranked by citation and Altmetric Attention Scores.

BACKGROUND AND AIMS: Citation scores (CS) have been traditionally used to measure the impact of scientific publications. Sourced from the Internet, Altmetric Attention Scores (AAS) are complementary metrics that assess how often publications are discussed and used globally. We compared by rank the top 500 papers by CS and AAS published in Clinical Nutrition with corresponding AAS and CS. METHODS: A search for all publications in Clinical Nutrition was performed on Dimensions (https://app.dimensions.ai/discover/publication) on 3rd April 2024. Outputs were ranked according to CS and then by AAS with the top 500 in each category selected. Scores, year and type of publication were recorded. Correlation was expressed as the Spearman's rank coefficient (ϱ). RESULTS: We identified 18,790 outputs. Within the top 500 publications ranked by CS, there was a significant weak positive correlation (ϱ = 0.235, P < 0.0001) between CS [median (IQR) 149 (116-223)] and AAS [7 (3-22)]. Ranked by AAS, there was a non-significant very weak positive correlation (ϱ = 0.072, P = 0.106) between AAS [55.5 (36-115)] and CS [42 (16.5-94.5)]. Trends remained similar when grouped by publication type. Guidelines, ranked by CS, had the highest CS and ranked by AAS, the highest CS and AAS. Publications per year, by year, ranked by CS, had a negatively skewed distribution peaking in 2012 and declined thereafter, but when ranked by AAS, had a moderately positive linear trend from 2001 to 2024 (ϱ = 0.513, P < 0.0001). CONCLUSION: Correlation between CS and AAS was weak. Guidelines had the highest CS and AAS. CS are iterative taking years to mature while AAS are immediate.

The art and science of research methodology, biostatistics, manuscript writing, and publication ethics: An invigorating training for improving research aptitudes in southern Indian biomedical institutions.

The basic concepts of research are learned through systematic literature searches which form the basis of a research statement and research topic. Then the research question, hypothesis, aim, and objectives, as well as the experimental design, are developed. Given the context provided, the primary focus is on the importance of adequately training postgraduates and young research investigators in research methodology and project development. It is evident that there is a lack of proper training in these areas, and the rapid expansion of colleges in India exacerbates this issue. To address this, research students must receive comprehensive instruction in scientific research methodology, experimental design, statistics, scientific writing, publishing, and research ethics. Our team has been conducting workshops and symposia for more than two decades to improve the current teaching methods in these areas. Most recently, we organized a series of national and international workshops and seminars in multiple states across India to fortify the core concepts of scientific research for students and faculty members. This report highlights the key aspects of these workshops and the positive outcomes experienced by participants.

Improving Outcomes After Post-Cardiac Arrest Brain Injury: A Scientific Statement From the International Liaison Committee on Resuscitation.

This scientific statement presents a conceptual framework for the pathophysiology of post-cardiac arrest brain injury, explores reasons for previous failure to translate preclinical data to clinical practice, and outlines potential paths forward. Post-cardiac arrest brain injury is characterized by 4 distinct but overlapping phases: ischemic depolarization, reperfusion repolarization, dysregulation, and recovery and repair. Previous research has been challenging because of the limitations of laboratory models; heterogeneity in the patient populations enrolled; overoptimistic estimation of treatment effects leading to suboptimal sample sizes; timing and route of intervention delivery; limited or absent evidence that the intervention has engaged the mechanistic target; and heterogeneity in postresuscitation care, prognostication, and withdrawal of life-sustaining treatments. Future trials must tailor their interventions to the subset of patients most likely to benefit and deliver this intervention at the appropriate time, through the appropriate route, and at the appropriate dose. The complexity of post-cardiac arrest brain injury suggests that monotherapies are unlikely to be as successful as multimodal neuroprotective therapies. Biomarkers should be developed to identify patients with the targeted mechanism of injury, to quantify its severity, and to measure the response to therapy. Studies need to be adequately powered to detect effect sizes that are realistic and meaningful to patients, their families, and clinicians. Study designs should be optimized to accelerate the evaluation of the most promising interventions. Multidisciplinary and international collaboration will be essential to realize the goal of developing effective therapies for post-cardiac arrest brain injury.