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The energy–water–carbon (EWC) nexus has become a critical concern for industrial systems seeking sustainable development, yet existing assessment approaches often require intensive computation and lack practical adaptability. This study proposes a probability-pinch analysis (P-PA) framework that enhances conventional pinch analysis (PA) by integrating allocation-based correction factors to account for system inefficiencies across all time intervals explicitly. The framework incorporates PA tools, specifically the Power Cascade Table (PCT), Water Cascade Table (WCT), and Energy Planning Pinch Diagram (EPPD), to design ideal energy–water systems that do not consider losses. Correction factors based on probable energy and water flows are then incorporated to capture system inefficiencies, with design modifications proposed to meet annual carbon reduction targets. Results from an industrial plant case study validate the effectiveness of P-PA in establishing minimum resource targets while achieving a 46% reduction in carbon emissions through system modifications. Deviations from conventional PA were within 10%, confirming the framework’s accuracy and reliability in designing integrated energy–water systems within the EWC nexus. It could serve as a handy tool for designing large-scale energy–water systems that require substantial computational effort, but it may be less accurate for small-scale applications. Nevertheless, compared with conventional PA-based approaches, P-PA offers a balanced combination of rigor, simplicity, and adaptability, making it well-suited for industrial EWC nexus analysis and decision support in sustainable process design.

The COVID-19 pandemic has accelerated methods to facilitate contactless evaluation of patients in hospital settings. By minimizing in-person contact with individuals who may have COVID-19, healthcare workers can prevent disease transmission and conserve personal protective equipment. Obtaining vital signs is a ubiquitous task that is commonly done in person by healthcare workers. To eliminate the need for in-person contact for vital sign measurement in the hospital setting, we developed Dr. Spot, a mobile quadruped robotic system. The system includes IR and RGB cameras for vital sign monitoring and a tablet computer for face-to-face medical interviewing. Dr. Spot is teleoperated by trained clinical staff to simultaneously measure the skin temperature, respiratory rate, and heart rate while maintaining social distancing from patients and without removing their mask. To enable accurate, contactless measurements on a mobile system without a static black body as reference, we propose novel methods for skin temperature compensation and respiratory rate measurement at various distances between the subject and the cameras, up to 5 m. Without compensation, the skin temperature MAE is 1.3°C. Using the proposed compensation method, the skin temperature MAE is reduced to 0.3°C. The respiratory rate method can provide continuous monitoring with a MAE of 1.6 BPM in 30 s or rapid screening with a MAE of 2.1 BPM in 10 s. For the heart rate estimation, our system is able to achieve a MAE less than 8 BPM in 10 s measured in arbitrary indoor light conditions at any distance below 2 m.

HLA-B*27 was one of the first HLA alleles associated with an autoimmune disease, i.e., axial spondyloarthritis (axSpA) and acute anterior uveitis (B27AAU), which cause joint and eye inflammation, respectively. Gastrointestinal inflammation has been suggested as a trigger of axSpA. We recently identified a bacterial peptide (YeiH) that can be presented by HLA-B*27 to expanded public T cell receptors in the joint in axSpA and the eye in B27AAU. While YeiH is present in enteric microbiota and pathogens, additional evidence that pathogenic T cells in HLA-B*27-associated autoimmunity may have had a prior antigenic encounter within the gastrointestinal tract remains lacking. Here, we analyzed ocular, synovial, and blood T cells in B27AAU and axSpA, showing that YeiH-specific CD8+ T cells express a mucosal gene set and surface proteins consistent with intestinal differentiation, including CD161, integrin α4β7, and CCR6. In addition, we found an expansion of YeiH-specific CD8+ T cells in axSpA and B27AAU blood compared with that from individuals acting as healthy controls, whereas influenza-specific CD8+ T cells were equivalent across groups. Finally, we demonstrated the dispensability of TRBV9 for antigen recognition. Collectively, our data suggest that, in HLA-B27-associated autoimmunity, early antigen exposure and differentiation of pathogenic CD8+ T cells may occur in enteric organs.

Cancer patients undergoing therapeutic radiation routinely develop injury of the adjacent gastrointestinal (GI) tract mucosa due to treatment. To reduce radiation dose to critical GI structures including the rectum and oral mucosa, 3D‐printed GI radioprotective devices composed of high‐Z materials are generated from patient CT scans. In a radiation proctitis rat model, a significant reduction in crypt injury is demonstrated with the device compared to without (p < 0.0087). Optimal device placement for radiation attenuation is further confirmed in a swine model. Dosimetric modeling in oral cavity cancer patients demonstrates a 30% radiation dose reduction to the normal buccal mucosa and a 15.2% dose reduction in the rectum for prostate cancer patients with the radioprotectant material in place compared to without. Finally, it is found that the rectal radioprotectant device is more cost‐effective compared to a hydrogel rectal spacer. Taken together, these data suggest that personalized radioprotectant devices may be used to reduce GI tissue injury in cancer patients undergoing therapeutic radiation. One of the most common side effects of radiation therapy is injury to the gastrointestinal (GI) tract. To reduce radiation‐induced injury, personalized 3D‐printed radioprotective devices made of high‐Z materials are developed that are shown to reduce radiation injury in two animal models, improve clinically significant dosimetry in at‐risk GI tissue in human cancer patients, and are more cost‐effective compared to standard‐of‐care therapy.

This study examines Title 1 heterogeneous classroom teachers' instructional behavior change through implementing well-designed research-based curriculum units and attending regular professional development activities across 3 years. Employing an experimental design, this study compares experimental and comparison teachers' behavioral changes as measured by an observation scale of differentiated teaching strategies across 3 years. The results show that experimental teachers received statistically significant and educationally important higher ratings than comparison teachers on differentiated strategy use and effectiveness across 3 years. The study corroborates the research literature that shows that teachers' instructional improvement takes 2 years to manifest its effectiveness and to shape belief in student learning benefits. Putting the Research to Use: This study suggests several areas of practical application. One area is in the reality versus the myth of professional development. These data suggest the need for multiple years of professional development, interspersed with observations that track the frequency and efficacy of targeting instructional behaviors. Thus, educational reformers must be clear about what change they want teachers to achieve and set about a 2- to 3-year plan for making it happen at the school level. This study also lends support to more systematic approaches to encouraging differentiation. It highlights the need for monitoring classroom implementation. The use of a well-validated observation tool such as the Classroom Observation Scale—Revised provides a venue for ongoing instructional monitoring and improvement. Moreover, embedding content pedagogy in actual curriculum for training reduces the chance for inaccurate teacher inferencing about how to employ a strategy effectively.

In the 1950s, Terman summarized the results of his longitudinal study of the gifted and compared the \"life success\" of the 150 most successful men (Group A) with the 150 least successful men (Group C) at the midpoint of their careers (age 30). The objective of this article is to replicate the original Terman work with a modern sample of the most successful (Group A) and least successful (Group C) American Academic Olympians (N = 190). The most successful adult Olympians were not hampered by a lack of motivation because they had parents who supplied a conducive home atmosphere when they were growing up. We present implications of this study for today's schools and for parents of the gifted.

Oropouche orthobunyavirus (OROV; Peribunyaviridae) is a mosquito-transmitted virus that causes widespread human febrile illness in South America, with occasional progression to neurologic effects. Host factors mediating the cellular entry of OROV are undefined. Here, we show that OROV uses the host protein low-density lipoprotein—related protein 1 (Lrp1) for efficient cellular infection. Cells from evolutionarily distinct species lacking Lrp1 were less permissive to OROV infection than cells with Lrp1. Treatment of cells with either the high-affinity Lrp1 ligand receptor-associated protein (RAP) or recombinant ectodomain truncations of Lrp1 significantly reduced OROV infection. In addition, chimeric vesicular stomatitis virus (VSV) expressing OROV glycoproteins (VSV-OROV) bound to the Lrp1 ectodomain in vitro. Furthermore, we demonstrate the biological relevance of the OROV-Lrp1 interaction in a proof-of-concept mouse study in which treatment of mice with RAP at the time of infection reduced tissue viral load and promoted survival from an otherwise lethal infection. These results with OROV, along with the recent finding of Lrp1 as an entry factor for Rift Valley fever virus, highlight the broader significance of Lrp1 in cellular infection by diverse bunyaviruses. Shared strategies for entry, such as the critical function of Lrp1 defined here, provide a foundation for the development of pan-bunyaviral therapeutics.

This study examined the trend of identification and achievement patterns of performance task-identified students over a span of 6 years (2000–2005), in comparison to profiles of students who were identified exclusively through traditional ability and achievement tests. The study findings suggested that the performance-based protocols were consistent across time in locating a higher percentage of low-income and minority students, as well as female students for gifted programs; a higher percentage of students with uneven verbal-nonverbal strengths were performance task-identified students also. Performance task-identified students scored significantly lower than traditionally identified students on both the English and math portions of the state assessment test for multiple years; however, the performance differences on state assessments were small, rendering small effect sizes.

To help teachers develop a repertoire of instructional strategies that will effect positive changes on students' learning outcomes is essential for both general education and the field of gifted education. This article introduces readers to a classroom observation tool that is designed to help assess professional development needs of teachers of gifted learners in practicing differentiation best practices. The authors give an extensive review of the literature, discuss the blueprint for constructing the scale, and provide a detailed description of the scale development process, the technical adequacy data of the instrument, as well as how the instrument can be used in multiple settings. The authors also draw implications for using this tool to connect the instructional efficacy of teachers to student learning outcomes.