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Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) using 2D monolayer differentiation are often hampered by batch-to-batch variability and inef!cient puri!cation processes. Here, we introduce CM-AI, a novel arti!cial intelligence-guided laser cell processing platform designed for rapid, label-free puri!cation of hiPSC-derived cardiomyocytes (hiPSC-CMs). This approach signi!cantly reduces processing time without the need for chronic metabolic selection or antibody-based sorting. By integrating real-time cellular morphology analysis and targeted laser ablation, CM-AI selectively removes non-cardiomyocyte populations with high precision. This streamlined process preserves cardiomyocyte viability and function, offering a scalable and ef!cient solution for cardiac regenerative medicine, disease modeling, and drug disco 

Abstract In this paper we prove a higher dimensional analogue of Carleson’s$$\varepsilon ^{2}$$ ${\epsilon }^2$conjecture. Given two arbitrary disjoint Borel sets$$\Omega ^{+},\Omega ^{-}\subset \mathbb{R}^{n+1}$$ ${\Omega }^{+},{\Omega }^{-}\subset R^{n+1}$, and$$x\in \mathbb{R}^{n+1}$$ $x\in R^{n+1}$,$$r>0$$ $r>0$, we denote$$ \varepsilon _{n}(x,r) := \frac{1}{r^{n}}\, \inf _{H^{+}} \mathcal{H}^{n} \left ( ((\partial B(x,r)\cap H^{+}) \setminus \Omega ^{+}) \cup (( \partial B(x,r)\cap H^{-}) \setminus \Omega ^{-})\right ), $$ ${\epsilon }_n(x,r):=\frac{1}{r^n}\underset{H^{+}}{inf}{H}^n\left(\right(\left(\partial B\right(x,r)\cap H^{+})\setminus {\Omega }^{+})\cup (\left(\partial B\right(x,r)\cap H^{-})\setminus {\Omega }^{-}\left)\right),$where the infimum is taken over all open affine half-spaces$$H^{+}$$ $H^{+}$such that$$x \in \partial H^{+}$$ $x\in \partial H^{+}$and we define$$H^{-}= \mathbb{R}^{n+1} \setminus \overline{H^{+}}$$ $H^{-}=R^{n+1}\setminus \overline{H^{+}}$. Our first main result asserts that the set of points$$x\in \mathbb{R}^{n+1}$$ $x\in R^{n+1}$where$$ \int _{0}^{1} \varepsilon _{n}(x,r)^{2} \, \frac{dr}{r}< \infty $$ ${\int }_0^1{\epsilon }_n{(x,r)}^2\frac{dr}{r}<\infty$is$$n$$ $n$-rectifiable. For our second main result we assume that$$\Omega ^{+}$$ ${\Omega }^{+}$,$$\Omega ^{-}$$ ${\Omega }^{-}$are open and that$$\Omega ^{+}\cup \Omega ^{-}$$ ${\Omega }^{+}\cup {\Omega }^{-}$satisfies the capacity density condition. For each$$x \in \partial \Omega ^{+} \cup \partial \Omega ^{-}$$ $x\in \partial {\Omega }^{+}\cup \partial {\Omega }^{-}$and$$r>0$$ $r>0$, we denote by$$\alpha ^{\pm }(x,r)$$ ${\alpha }^{\pm }(x,r)$the characteristic constant of the (spherical) open sets$$\Omega ^{\pm }\cap \partial B(x,r)$$ ${\Omega }^{\pm }\cap \partial B(x,r)$. We show that, up to a set of$$\mathcal{H}^{n}$$ $H^n$measure zero,$$x$$ $x$is a tangent point for both$$\partial \Omega ^{+}$$ $\partial {\Omega }^{+}$and$$\partial \Omega ^{-}$$ $\partial {\Omega }^{-}$if and only if$$ \int _{0}^{1} \min (1,\alpha ^{+}(x,r) + \alpha ^{-}(x,r) -2) \frac{dr}{r} < \infty . $$ ${\int }_0^{1}min(1,{\alpha }^{+}(x,r)+{\alpha }^{-}(x,r)-2)\frac{dr}{r}<\infty .$The first result is new even in the plane and the second one improves and extends to higher dimensions the$$\varepsilon ^{2}$$ ${\epsilon }^2$conjecture of Carleson. 

Abstract Marine protected areas (MPAs) are an important tool for conserving coastal marine ecosystems, with well‐documented benefits for fished species. However, their potential to benefit non‐exploited species, such as primary producers in kelp forest ecosystems, is less well understood, particularly under escalating climate change impacts.In this study, we used four decades of remote sensing to examine the effects of 54 MPAs on kelp canopy coverage and assess how these effects influence kelp resilience to marine heatwaves. We developed a method for identifying paired reference (control) sites using historical satellite data and then used Before‐After Control‐Impact Paired Series analysis to examine whether the implementation of MPAs leads to increases in kelp coverage. In addition to examining changes in kelp coverage before and after MPA implementation, we also analysed the effect of MPAs on the resistance and recovery of kelp canopy coverage to a series of severe marine heatwaves in the North Pacific between 2014 and 2016.We found that the implementation of MPAs led to a modest positive effect with an 8.5% increase in kelp coverage compared to reference areas, though effects varied across MPAs.The positive effect of MPAs became more evident following the marine heatwaves, with kelp forests in MPAs showing greater recovery than in reference sites, particularly in southern California.Synthesis and applications. Our results provide empirical evidence of the potential role of MPAs as climate adaptation tools and highlight that well‐managed MPAs can support ecosystem stability under increasing climate stress. 

This project focuses on developing three technical courses for lower-division electrical engineering education to bridge the gap between Career and Technical Education (CTE) programs in high schools, engineering programs at community colleges, and lower-division electrical engineering courses at four-year universities. The primary goal of the project is to create a seamless academic transition by providing electrical engineering students with the necessary foundational knowledge in analog and digital systems, as well as hands-on experience with laboratory measurement tools. The courses utilize industry-relevant technologies such as LabView, MATLAB, PLC programming, and ready-to-use microcontroller boards to facilitate experiential learning at lower division courses. Early exposure to these tools and systems equips students with practical skills that not only prepare them for further academic pursuits but also align them with workforce demands in industries that increasingly rely on automation, data acquisition, and real-time system controls. The success of this project is attributed to its emphasis on design and project-based learning, which fosters critical thinking and problem-solving skills essential for real-world applications. By integrating design principles early in students' educational experiences, they are better prepared to tackle complex engineering problems as they progress through their academic careers. The use of project-based learning allows students to apply theoretical knowledge to tangible, real-world projects, improving their engagement and deepening their understanding of electrical engineering concepts. Practical tools like MATLAB and microcontroller boards in entry-level courses not only motivates students to pursue engineering but also increases retention rates in STEM fields, a key metric for academic success. This project is also advocating for early exposure to hands-on technical skills as a way to better prepare students for the workforce. By focusing on skill development in both CTE programs and early college courses, students are equipped with a stronger foundation for electrical engineering careers and are more likely to succeed in upper-division coursework and beyond. The seamless integration of high school, community college, and university programs ensures that students acquire both the theoretical and practical skills necessary to be successful in an increasingly technology-driven economy. Moreover, the project's use of industry-standard tools, coupled with its focus on bridging academic gaps, provides a sustainable model for developing a skilled and versatile workforce, addressing the growing need for engineers proficient in both design and system implementation. 

Abstract LAB2022 is a new temporary array consisting of 273 geophones that was deployed in the Los Angeles basin for one month during the summer of 2022. The array was designed to improve the 3D seismic velocity model of the basin through passive seismic imaging, which is crucial for both earthquake hazard assessment and the understanding of the region’s tectonic evolution. The sensors are 3C 5 Hz Zland and Smart Solo instruments. The data has been archived at the EarthScope SAGE Data Management Center and will be publicly available in summer 2025. 

We present a combined experimental and density functional theory study that characterizes the charge and spin density in NiX₂(3,5-lutidine)₄(X= Cl, Br and I). In this material, magnetic exchange interactions occur via Ni²⁺–halide...halide–Ni²⁺pathways, forming one-dimensional chains. We find evidence for weak halide...halide covalency in the iodine system, which is greatly reduced whenX= Br and is absent forX= Cl; this is consistent with the reported `switching-on' of magnetic exchange in the larger-halide cases. Our results are benchmarked against density functional theory calculations on [NiHF₂(pyrazine)₂]SbF₆, in which the primary magnetic exchange is mediated by F–H–F bridging ligands. This comparison indicates that, despite the largely depleted charge density found at the centre of halide...halide bonds, these through-space interactions can support strong magnetic exchange gated by weak covalency and enhanced by significant electron density overlapping that of the transition metal centres. 

This research WIP paper describes computer science undergraduate students’ perceptions of career pathways and becoming K-12 computer science teachers. Computer science (CS) education has become critical with the rapid pace of technological development to better prepare students for national technology and economic competitiveness and security. According to Code.org, 57.5% of U.S. public high schools offer foundational computer science courses in 2023; unfortunately, access to the courses remains unequal and maintains wide disparities by race/ethnicity and social class. For instance, Hispanics are 1.4 times less likely to take foundational CS courses compared to their white and Asian peers, and students with low socio-economic status are underrepresented in the overall population. The shortage of CS teachers is one of the significant barriers to why minoritized groups of students do not have equal access to learning CS. Various programmatic efforts have been implemented to address the gap, including the recruitment of undergraduate students who will earn bachelor’s degrees in computing. This approach has been considered innovative in building a new pipeline for producing highly qualified CS teachers with the ability to transform computing education and the CS teacher community rather than training in-service teachers certified in other disciplines to receive credentials to teach CS. Studies report that CS degree recipients opt for industry roles and exhibit disinterest in alternative career pathways, such as teaching because they perceive this profession as having lower salaries and unfavorable aspects associated with the job. However, we need a more prosperous and in-depth understanding of why CS degree holders consider industry jobs of greater importance rather than teaching, which would reduce the disparity in K-12 computing education. As a first attempt to better understand the perceptions of computer science undergraduate students at an Hispanic-Serving Institution (HSI), we collected qualitative data (i.e., student artifacts) in a course offered in the computer science department. Driven by social cognitive career and FIT-choice theory, our findings from the preliminary analysis indicate that CS undergraduate students at an HSI acknowledged the importance of K-12 CS teachers in their communities, but at the same time, they have more concerns about the underpayment and undervaluation of the job. They have shown a conflict between their perceptions of teaching CS and their own career aspirations as CS teachers. These preliminary findings draw attention to the importance of uncovering common career plans among CS undergraduate students.