Experimental Study on the Strength Distribution and Pore Distribution of Industrial Pellet and DRI

Against the backdrop of the “dual-carbon” goals driving the steel industry's transition toward hydrogen metallurgy, the hydrogen-based shaft furnace process has emerged as a focal point due to its low-carbon emissions. This study employs compression testing, mercury intrusion porosimeter, and industrial computed tomography  characterization to compare the mechanical properties and pore structures of industrial pellets and direct reduced iron (DRI). The results show that the compressive strength and mass specific breakage energy of DRI are lower than those of pellets, and the breakage characteristic parameters at the same particle size are lower, making it more prone to breakage; the compressive strength of both increases with the increase of particle size, the mass specific breakage energy decreases with the increase of particle size, and the strength growth rate of pellets is faster. In terms of pore structure, pellets are mainly composed of uniform macropores of 3428 nm with a porosity of 22.3%; DRI has a porosity of 48.8%, mainly composed of 3431 nm macropores and 831 nm micropores, with a low tortuosity index, which is conducive to gas diffusion. This study provides parameters and theoretical basis for modeling of burden movement and crushing in shaft furnace.

Single Shift Segmentation Improves Moderate Flood Estimates under Nonstationary Conditions across the United States

Precipitation, particularly at high quantiles, has been reported to increase in various regions across the globe, raising pluvial flood risk. One of the main challenges in reliable flood frequency analysis is handling nonstationarity arising from climate variability or anthropogenic disturbances such as land use/cover change or river regulation. To separate these nonstationary footprints, we analyzed annual maximum peak flow records from 18 reference (minimally disturbed) and 66 non-reference stream gages, each with more than 100 years of flood records across the United States. Next, we used a nonparametric Pettitt test to identify statistically significant change points. When present, the flood record was split into pre- and post-change segments with a Log-Pearson III distribution fitted to each. Depending on the region and site type, using a segmented record improved the quantile estimate. At the majority of reference sites, post-change data produced the highest flood quantiles, reflecting recent climate-driven nonstationarity. Conversely, at several non-reference sites, pre-change data returned larger estimates, indicating that long-standing anthropogenic disturbances can attenuate the signal of climatic variations. Our study confirms that fitting a flood frequency model to the segment that minimizes nonstationarity, rather than the entire record, returns more reliable estimates for moderate flood magnitudes of up to a 25-year return interval. The approach highlights the need to understand the population from which flood records are extracted, to separate those populations where appropriate, and then fit a statistical distribution. This practical approach offers a simple thought process for updating moderate flood forecasts to guide infrastructure design or rehabilitation in the current dynamic environment, an era of constant change that needs flexibility in everything we design.

Effects of Virtual Reality (VR) Rehabilitation on Mental Health in SCI Patients: A Randomized Controlled Trial

This randomized controlled trial investigates the effects of virtual reality (VR) rehabilitation on mental health in spinal cord injury (SCI) patients. Seventy-four participants were randomized to 12 weeks of VR-based or traditional rehabilitation, with mental health assessed via the Hospital Anxiety and Depression Scale (HADS) and World Health Organization Quality of Life-BREF (WHOQOL-BREF). The VR group showed significantly greater reductions in HADS scores at 6 weeks (mean change: −4.2 vs. −2.4, p < 0.001) and 12 weeks (mean change: −6.4 vs. −3.9, p < 0.001), with a large effect size (Cohen’s d = 1.21). VR also improved WHOQOL-BREF psychological health scores (+13.5 vs. +6.4, p < 0.001), self-esteem (+7.2 vs. +3.2, p < 0.001), and sleep quality (−5.1 vs. −2.8, p < 0.001). Subgroup analysis indicated greater benefits for younger patients and those with incomplete SCI. VR rehabilitation outperforms traditional methods in enhancing mental health, supporting its integration into comprehensive SCI care.

Air Conditioning Heat Exchanger Intelligent Production Line: Design Methodologies and Applications

As a key component in modern building environmental control systems, the production quality and performance of multi-split central air conditioning systems directly influence the comfort, energy efficiency, and operational stability of buildings. However, the current manufacturing process primarily relies on a combination of traditional manual labor and automated equipment, resulting in low efficiency, high energy consumption, and limited automation. This paper first presents an optimized design for an intelligent manufacturing production line for multi-split central air conditioning heat exchangers to address these issues. It details the design of key systems for the intelligent production line and ensures continuous production and processing. Additionally, the paper analyzes the production process of the intelligent manufacturing line, with particular emphasis on the mechanism of the heat exchanger tube expansion process. Furthermore, it designs the fixture structure of the transfer robot for each process in the production line and discusses the principles of workpiece positioning and clamping. Utilizing technologies such as sensor networks, PLC, and industrial Ethernet, the system completes the closed-loop process of perception, transmission, analysis, decision-making, and execution within the production line, enabling transparency, fault predictability, and automated management. The results show that the intelligent assembly production line has significantly improved the assembly efficiency, achieving a 300% increase in the daily production capacity of a single line. While enabling the continuous and intelligent production of multi-split central air conditioning heat exchangers.

Commentary on “Nephrectomy and High-Salt Diet Inducing Pulmonary Hypertension and Kidney Damage by Increasing Ang II Concentration in Rats”

Laser-Assisted Forming of Ultra-High Strength Steels: A Critical Review of Mechanisms, Processes, and Future Directions

Ultra-high strength steels (UHSS) are critical for lightweighting in the automotive and aerospace industries, but their poor room-temperature formability presents a significant manufacturing barrier. Laser-assisted forming (LAF) has emerged as a key enabling technology that utilizes localized laser heating to reduce forming forces, enhance ductility, and mitigate springback. This paper provides a critical review of the state-of-the-art in LAF of UHSS. It begins by elucidating the governing principles, including the coupled thermo-mechanical and metallurgical mechanisms such as thermal softening, dynamic microstructure evolution, and non-equilibrium phase transformations. The review then systematically surveys the major LAF process variants—including bending, roll forming, and incremental forming—and their applications in fabricating complex UHSS components. Despite its proven advantages, significant challenges impede its widespread industrial adoption. The most critical issues are identified and discussed, including local mechanical property degradation due to uncontrolled thermal cycles, the complexity of predictive multi-physics modeling, and the need for robust in-situ process monitoring and control. Ultimately, this review presents a forward-looking perspective, proposing future research directions that focus on microstructure management, the development of high-fidelity digital twins, and the implementation of intelligent closed-loop control systems to ensure process stability and part integrity. This work provides a comprehensive roadmap for advancing the science and technology of LAF for next-generation lightweight manufacturing.

Investigating Touch DNA Success Rates in Vehicle Sites for Hit-and-Run Casework

This study evaluated the effectiveness of Touch DNA recovery from four key vehicle contact points—steering wheel (SW), gear shift (GS), interior door handle (IDH), and exterior door handle (EDH)—in the context of hit-and-run forensic casework. 1769 samples were collected from 359 vehicles processed between 2020 and 2023. Statistically significant differences were observed in the quantity and quality of DNA recovered across these sites (p < 0.05). The steering wheel yielded the highest DNA success rates, followed by the gear shift, whereas the exterior and interior door handles demonstrated substantially lower recovery efficiency. These findings underscore the critical role of strategic sampling site selection in maximizing evidentiary outcomes. The results support prioritizing the steering wheel and gear shift as primary targets for DNA collection in vehicle-based investigations. The study highlights the practical utility of Touch DNA in linking individuals to vehicular crimes and calls for further research into alternative sampling techniques and contamination control measures to optimize forensic DNA recovery protocols in real-world hit-and-run scenarios.

Spermidine Dampens Inflammation by Directly Inhibiting Th17 Cytokine Production through a PRDX1 Associated Antioxidant Pathway

The activation of IL-17 signaling has been linked to the pathogenesis of many chronic, inflammatory lung diseases including cystic fibrosis. Through unbiased single-cell RNAseq screening, we found that IL-17+ T cells highly express Srm and Smox, which encode two key enzymes involved in spermidine synthesis, spermidine synthase and spermine oxidase respectively. Spermidine has been shown to reduce inflammation by regulating macrophage activation and balancing Th17/Treg differentiation; however its direct effects on Th17 cytokine production have not been carefully investigated. Here, using already differentiated Th17 cells from cultured mouse splenocytes, we found that exogenous spermidine directly inhibits IL-1β/IL-23-induced IL-17 production. Blockade of endogenous spermidine synthesis enhanced IL-17 production above native levels, further supporting the notion that spermidine is a direct regulator of cytokine secretion independent of differentiation. In vivo, spermidine alleviates lung inflammation in both Pseudomonas aeruginosa (PA) and LPS induced acute lung injury models. Further RNA-seq analysis suggests that spermidine suppression of Th17 cytokine production is mediated through its PRDX1-dependent antioxidant activity. Our data suggests that spermidine is a direct regulator of Type-17 T cell cytokine production and has potent anti-inflammatory effects against lung inflammation.

The Semantic Evolution and Cultural Cognition of the English Basic Color Term “Green”—A Diachronic Analysis Based on Cognitive Anthropology

Based on cognitive anthropology theory, this study systematically explores the semantic evolution path and cultural cognitive mechanisms of the English basic color term “green”. Through analyzing the etymology, semantic extension, and usage frequency of the color term “green” in English, the study reveals its complex transformation from a natural attribute to a socio-cultural symbol. The results indicate that the semantic evolution of the color term “green” is influenced not only by the universality of human visual cognitive mechanisms, but also profoundly reflects the ecological concepts, political ideologies, and socio-psychological characteristics present in English culture. These findings provide a new analytical dimension for research on color terms and deepen the understanding of the relationship between language and culture.

Anthropological Pathways to Cultural Understanding: “Language Learning Circles in Early Childhood Bilingual Education in the U.S.A.”

This article presents a literature review that employs an anthropological perspective to investigate the role of Language Learning Circles (LLCs) in fostering early bilingual development and cultural identity among Hispanic children in the United States. As the Spanish-speaking population grows, the need for culturally grounded language education becomes more urgent. LLCs, rooted in educational and anthropological traditions, serve as structured, dialogic spaces where language learning is tied to cultural practices such as storytelling, music, and rituals. Drawing on theories of language socialization, cultural artifacts, and communicative competence, this paper situates LLCs within broader anthropological discussions on identity, belonging, and community building. By highlighting how LLCs promote linguistic diversity, foster cross-cultural understanding, and employ inclusive teaching methods, the article offers insights into how early childhood education can serve as a powerful site for cultural transmission and resistance. Special focus is given to the implications for Hispanic families navigating bilingualism and educational equity in the U.S.