Background: Glioblastoma (GB) is the most malignant primary brain tumor. Isolated restricted diffusion (IRD) is restricted diffusion outside the confines of enhancing tumor with no corresponding enhancement on post contrast study. The aim of our study was to prospectively assess the incidence of IRD in GB patients, determine how often these foci proceed to contrast enhancement on follow up, and analyze the survival pattern. Methods: In a prospective pilot cohort study, consecutive adult patients with GB on initial MRI of brain, were included and screened for IRD. All images were independently analyzed by two experienced radiologists. The survival pattern of patients with IRD was assessed with Cox-regression and Kaplan-Meier curve analysis. Results: Of the 52 patients (median age- 63 years; male-63.5%), 21% (11 of 52) exhibited IRD. Inter-rater agreement on the diagnosis of IRD foci was fair (kappa=0.29). Seven (64%) showed enhancement in the IRD focus. The Kaplan Meier analysis revealed a significant decrease (p=0.035) in the survival was observed among patients with IRD focus. Conclusions: IRD focus was seen in 21% of patients with GB, with 64% of these demonstrating enhancement at the IRD focus on follow up imaging. A shorter survival was associated with IRD foci.

Background: Adverse effects and risks associated with glucocorticoid (GC) treatment are frequently encountered in immune-mediated neuromuscular disorders. However, significant variability exists in the management of these complications. Our aim was to establish international consensus guidance on the management of GC-related complications in neuromuscular disorders. Methods: An international task force of 15 experts was assembled to develop clinical recommendations for managing GC-related complications in neuromuscular patients. The RAND/UCLA Appropriateness Method (RAM) was employed to formulate consensus guidance statements. Initial statements were drafted following a comprehensive literature review and were refined based on anonymous expert feedback, with up to three rounds of email voting to achieve consensus. Results: Consensus was reached on statements addressing general patient care, monitoring during GC therapy, osteoporosis prevention, vaccinations, infection screening, and prophylaxis for Pneumocystis jiroveci pneumonia. A multidisciplinary approach to managing GC-related complications was highlighted as a key recommendation. Conclusions: This represents the first consensus guidance in the neurological literature on GC complications, and offer clinicians structured guidance on mitigating and managing common adverse effects associated with both short- and long-term GC use. They also provide a foundation for future debate, quality improvement, research work in this area.

We provide an assessment of the Infinity Two fusion pilot plant (FPP) baseline plasma physics design. Infinity Two is a four-field period, aspect ratio $A = 10$, quasi-isodynamic stellarator with improved confinement appealing to a max-$J$ approach, elevated plasma density and high magnetic fields ($ \langle B\rangle = 9$ T). Here $J$ denotes the second adiabatic invariant. At the envisioned operating point ($800$ MW deuterium-tritium (DT) fusion), the configuration has robust magnetic surfaces based on magnetohydrodynamic (MHD) equilibrium calculations and is stable to both local and global MHD instabilities. The configuration has excellent confinement properties with small neoclassical transport and low bootstrap current ($|I_{bootstrap}| \sim 2$ kA). Calculations of collisional alpha-particle confinement in a DT FPP scenario show small energy losses to the first wall (${\lt}1.5 \,\%$) and stable energetic particle/Alfvén eigenmodes at high ion density. Low turbulent transport is produced using a combination of density profile control consistent with pellet fueling and reduced stiffness to turbulent transport via three-dimensional shaping. Transport simulations with the T3D-GX-SFINCS code suite with self-consistent turbulent and neoclassical transport predict that the DT fusion power$P_{{fus}}=800$ MW operating point is attainable with high fusion gain ($Q=40$) at volume-averaged electron densities $n_e\approx 2 \times 10^{20}$ m$^{-3}$, below the Sudo density limit. Additional transport calculations show that an ignited ($Q=\infty$) solution is available at slightly higher density ($2.2 \times 10^{20}$ m$^{-3}$) with $P_{{fus}}=1.5$ GW. The magnetic configuration is defined by a magnetic coil set with sufficient room for an island divertor, shielding and blanket solutions with tritium breeding ratios (TBR) above unity. An optimistic estimate for the gas-cooled solid breeder designed helium-cooled pebble bed is TBR $\sim 1.3$. Infinity Two satisfies the physics requirements of a stellarator fusion pilot plant.

The United States is one of the largest consumers of meat globally. The traditional production of meat contributes substantially to climate change due to the levels of greenhouse gases emitted and the amount of land, water, feed, and other natural resources required to raise animals used for meat. Conventional meat production is also a major source for the emergence of zoonotic diseases and antimicrobial-resistant pathogens. Nevertheless, Americans consume more meat now than at any time in the nation’s history.

Advocates for policy change aimed at addressing the risks currently associated with meat production have typically focused on reducing meat consumption, alternatives to meat, or improving the standards of conventional meat production. These are laudable goals, but an emerging technology now promises meat production that may avoid these risks entirely. Enter “lab-grown meat” — meat cultivated in an efficient and controlled laboratory environment without the need for fields, feed, or even animals.

The technology has been in development for over 100 years but has seen exponential growth in the past five years. What was previously considered a science fiction fantasy became a reality in the United States in 2023, when UPSIDE Foods and GOOD Meat received approval from USDA for sale of their cultivated chicken to U.S. consumers.

This article highlights the benefits and drawbacks associated with lab-grown meat, assesses the existing regulatory framework, and offers considerations for policy reform as regulators address the emergence and scale-up of this important technology.

This paper presents an analysis, based on simulation, of the stability of principal components. Stability is measured by the expectation of the absolute inner product of the sample principal component with the corresponding population component. A multiple regression model to predict stability is devised, calibrated, and tested using simulated Normal data. Results show that the model can provide useful predictions of individual principal component stability when working with correlation matrices. Further, the predictive validity of the model is tested against data simulated from three non-Normal distributions. The model predicted very well even when the data departed from normality, thus giving robustness to the proposed measure. Used in conjunction with other existing rules this measure will help the user in determining interpretability of principal components.

This paper presents a stochastic multidimensional unfolding (MDU) procedure to spatially represent individual differences in phased or sequential decision processes. The specific application or scenario to be discussed involves the area of consumer psychology where consumers form judgments sequentially in their awareness, consideration, and choice set compositions in a phased or sequential manner as more information about the alternative brands in a designated product/service class are collected. A brief review of the consumer psychology literature on these nested congnitive sets as stages in phased decision making is provided. The technical details of the proposed model, maximum likelihood estimation framework, and algorithm are then discussed. A small scale Monte Carlo analysis is presented to demonstrate estimation proficiency and the appropriateness of the proposed model selection heuristic. An application of the methodology to capture awareness, consideration, and choice sets in graduate school applicants is presented. Finally, directions for future research and other potential applications are given.

Analysing the dynamics of velocity gradients is useful for understanding various nonlinear turbulence processes. This work focuses on how the vibrational non-equilibrium of the constituent molecules in a gaseous medium affects the dynamics of the velocity gradient and the pressure Hessian tensors. We first derive the exact evolution equation of the pressure-Hessian tensor in the presence of the vibrational non-equilibrium process. Subsequently, we perform several direct numerical simulations of compressible isotropic turbulence, including the vibrational relaxation process therein. Using flow fields extracted from these simulations, we conduct several parametric studies over a range of the Damköhler number (ratio of the relevant fluid time scale to that of the mean vibrational relaxation process) and the initial ratio of the vibrational temperature to the mean local temperature. We find that a variation in the initial Damköhler number does influence the evolution of the pressure-Hessian and the velocity gradient tensors. As the vibrational relaxation process becomes more rapid (an increase in the value of the initial Damköhler number), it causes a decrease in the strength of the pressure-Hessian tensor and simultaneous suppression of dilatational fluctuations in the flow field. On the other hand, a variation in the initial value of the ratio of the vibrational temperature to the local temperature does not seem to affect the pressure-Hessian or the velocity gradient tensor. These findings are expected to aid in the development of closure models for the pressure-Hessian tensor in compressible flows under vibrational non-equilibrium conditions.

Glauconites occurring within the Ukra Member of Kutch Basin have remained unexplored in terms of their economic significance. The present study aimed to present a detailed physicochemical characterization of glauconite occurring in the siliciclastic rocks of Guneri and Umarsar area of the Kutch district, Gujarat, India to explore their economic potential. The study involved an integrated petrographical, mineralogical, and geochemical investigation of glauconitic rocks to highlight the occurrence, nature, and maturity of glauconite. The characterization was carried out using X-ray diffraction (XRD), X-ray fluorescence (XRF), and electron probe microanalysis (EPMA) combined with energy dispersive X-ray (EDX), Field emission gun scanning electron microscopy (FEG-SEM), Fourier-transform infrared spectroscopy (FTIR), and inductively coupled plasma mass spectroscopy (ICP-MS). Petrographic and bulk XRD analysis revealed that the glauconite occurs as green pellets constituting ~30 and 40% of the glauconitic sandstone and shale, respectively. Whole-rock analysis showed that the value of K2O varies considerably from 3.93 wt.% (sandstone) to 5.63 wt.% (shale). Mineral chemistry indicated the distinctive chemical composition of glauconite pellets containing 7.4–8.4 wt.% of K2O. The parameters, such as the distance between the (001) and (020) peaks and the large K2O content (~8 wt.%) of the glauconite fraction reflect an evolved to highly evolved stage of maturation. The morphological and spectral signatures further support the high degree of maturation in glauconites. Trace-element analysis implied that the glauconitic sandstone and shale contain elements such as Zn, Mn, Cu, Co, Mo, and Ni, which serve as essential micronutrients for plants. These data sets collectively constitute part of a preliminary study which is prerequisite to beneficiation, but further evaluation of its potential as a potash fertilizer also is needed.

Okay. Now is the moment we have been waiting for. It is my pleasure to welcome to the stage Sharmila Mona Sinha and Michele Goodwin for a keynote conversation. Mona Sinha is a globally recognized advocate, thought leader, and philanthropist who works tirelessly on behalf of gender equality in business and in society. She co-led the largest-to-date capital campaign for women's education, totaling nearly a half-a-billion dollars. Mona's career began in finance, spanning Morgan Stanley, Unilever, and the restructuring of Elizabeth Arden/Unilever, to her critical work today at the intersection of social justice and women's leadership. She has been described as having a muscle for finance and a passion for justice. She has worn many hats in advocating for human rights and advancement of girls and women. She currently serves as Board Chair of Women Moving Millions, a community of women who fund boldly, committing at least a million dollars each year to lifting the lives of women and girls, Chair of the ERA Coalition Fund for Women's Equality, and Vice Chair of the Executive Council of the Smithsonian's American Women's History Museum. Today Mona is Global Executive Director of Equality Now, a critically important feminist organization that uses law to promote and protect the human rights of all women and girls throughout the globe. She and her colleagues create, reform, challenge, and apply the law to establish enduring equality for women and girls throughout the world.

The United States has a long and controversial history with abortion that did not end with Roe v. Wade. Almost immediately thereafter, anti-choice politicians commenced a decades-long effort to restrict access to abortion, recently culminating in the Dobbs decision that overturned Roe. One successful attempt to restrict access immediately following Roe was the Hyde Amendment. With more Americans covered by federally funded health insurance than ever, the Hyde Amendment creates an insurmountable barrier to abortion care for those who lack other sources of financing.

Despite the impacts of the Hyde Amendment, support for discontinuing the amendment has been weak. For the first time in over forty years, the United States is in a position to change its abortion funding policy. Beyond ending Hyde, the EACH Act has been introduced in Congress to ensure permanent funding for abortion through all federally funded insurance programs. To secure funding for abortion and reduce barriers to access, advocates must press the federal government to pass legislation such as the EACH Act.

Background: Chordomas are rare malignant skull-base/spine cancers with devastating neurological morbidities and mortality. Unfortunately, no reliable prognostic factors exist to guide treatment decisions. This work identifies DNA methylation-based prognostic chordoma subtypes that are detectable non-invasively in plasma. Methods: Sixty-eight tissue samples underwent DNA methylation profiling and plasma methylomes were obtained for available paired samples. Immunohistochemical staining and publicly available methylation and gene expression data were utilized for validation. Results: Unsupervised clustering identified two prognostic tissue clusters (log-rank p=0.0062) predicting disease-specific survival independent of clinical factors (Multivariable Cox: HR=16.5, 95%CI: 2.8-96, p=0.0018). The poorer-performing cluster showed immune-related pathway promoter hypermethylation and higher immune cell abundance within tumours, which was validated with external RNA-seq data and immunohistochemical staining. The better-performing cluster showed higher tumour cellularity. Similar clusters were seen in external DNA methylation data. Plasma methylome-based models distinguished chordomas from differential diagnoses in independent testing sets (AUROC=0.84, 95%CI: 0.52-1.00). Plasma methylomes were highly correlated with tissue-based signals for both clusters (r=0.69 & 0.67) and leave-one-out models identified the correct cluster in all plasma cases. Conclusions: Prognostic molecular chordoma subgroups are for the first time identified, characterized, and validated. Plasma methylomes can detect and subtype chordomas which may transform chordoma treatment with personalized approaches tailored to prognosis.

Mars exploration motivates the search for extraterrestrial life, the development of space technologies, and the design of human missions and habitations. Here, we seek new insights and pose unresolved questions relating to the natural history of Mars, habitability, robotic and human exploration, planetary protection, and the impacts on human society. Key observations and findings include:

1. – high escape rates of early Mars' atmosphere, including loss of water, impact present-day habitability;

2. – putative fossils on Mars will likely be ambiguous biomarkers for life;

3. – microbial contamination resulting from human habitation is unavoidable; and

4. – based on Mars' current planetary protection category, robotic payload(s) should characterize the local martian environment for any life-forms prior to human habitation.

Some of the outstanding questions are:

1. – which interpretation of the hemispheric dichotomy of the planet is correct;

2. – to what degree did deep-penetrating faults transport subsurface liquids to Mars' surface;

3. – in what abundance are carbonates formed by atmospheric processes;

4. – what properties of martian meteorites could be used to constrain their source locations;

5. – the origin(s) of organic macromolecules;

6. – was/is Mars inhabited;

7. – how can missions designed to uncover microbial activity in the subsurface eliminate potential false positives caused by microbial contaminants from Earth;

8. – how can we ensure that humans and microbes form a stable and benign biosphere; and

9. – should humans relate to putative extraterrestrial life from a biocentric viewpoint (preservation of all biology), or anthropocentric viewpoint of expanding habitation of space?

Studies of Mars' evolution can shed light on the habitability of extrasolar planets. In addition, Mars exploration can drive future policy developments and confirm (or put into question) the feasibility and/or extent of human habitability of space.