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Selected topics on generalized integration
No full textThis comprehensive volume offers an in-depth exploration of advanced integration theories, extending beyond classical methods to unify and expand the field. Building on the foundational work of Jaroslav Kurzweil and Ralph Henstock, the book delves into the Henstock–Kurzweil and McShane gauge integrals, presenting a more intuitive and versatile alternative to the traditional Lebesgue integral. By bridging gaps in existing literature, the authors provide a rigorous treatment of integration on metric measure spaces, exploring critical concepts such as completeness, compactness, and Cousin's lemma.
The book systematically introduces advanced topics, including the variational Henstock integral in locally convex spaces, the Riemann–Lebesgue integral for vector-valued functions, and generalizations of the Sugeno integral. Further chapters explore convergence in Banach spaces on time scales, set-valued integrals, and applications to harmonic analysis and partial differential equations, including solutions to the heat equation in distribution spaces.
Notably, the text presents innovative approaches like the symmetric Laplace integral and the q-Homotopy Analysis Method for solving nonlinear integral equations, offering practical tools for modern analysis. Unified integral representations for generalized Mittag-Leffler functions further highlight the book's engagement with special functions.
Ideal for researchers and advanced students in mathematical analysis, this book seamlessly integrates classical theories with modern advancements, offering both theoretical insights and practical applications across mathematics, physics, and engineering
Ultimate water capillary evaporation in bamboo-inspired evaporator
No full textBionic evaporators inspired by natural plants like bamboo and mushrooms have emerged as efficient generators through water capillary evaporation. However, primitive natural evaporators cannot currently meet growing demand, and their performance limitations remain largely unexplored, presenting a substantial challenge. Through extensive experimentation and detailed simulation analysis, this study presents a precisely engineered H-type bamboo steam generator. This innovative design incorporates a unique node structure embedded with graphite flakes and an internode characterized by micro- and nanoporous channels, all achieved through streamlined carbonization. The results are striking: a water evaporation rate of 2.28 kg m−2 h−1 and a photothermal conversion efficiency of 90.2% under one-sun irradiation, outperforming comparable alternatives. This study also marks the first comprehensive simulation in COMSOL modeling water capillary evaporation, driven by the synergistic effects of photothermal graphitic layers, broad-spectrum solar absorption, and capillary microstructures. The chimney-assisted, enclosed cavity structure further enhances water capillary evaporation and thermal localization. This breakthrough not only enables efficient use of waste biomass but also advances the field of sustainable materials, opening new avenues in solar-driven steam generation.Accepted versionRP 1/22 EA
Photothermal halloysite nanotube hybrids with CoO/carbon layers for enhanced pollutant degradation and solar-powered water purification
No full textAdvanced environmental governance techniques using photothermal nanomaterials for pollutant removal and water recycling are highly regarded. Here, we incorporated CoO nanospecies onto halloysite nanotubes via in-situ polymerization of tannic acid coordinated with Co ions and carbonization. The resulting halloysite nanotube hybrids with CoO/carbon layer (HNTs@CoO/C) afford great exposure of CoO nanospecies onto the N-doping carbon layer modified halloysite. Compared to composites without a carbon layer, optimized Co(II)/Co(III) redox cycles are achieved. More pyridine nitrogen species on the carbon layer enhance the catalyst's surface affinity for polar contaminants. HNTs@CoO/C has nearly 8.6 fold higher catalytic degradation efficiency for norfloxacin (0.164 min−1 versus 0.019 min−1 for HNTs@CoO). Quenching experiments show that co-existing multiple active species (radical dotSO₄−, radical dotOH, radical dotO₂−, and 1O₂) play important roles in norfloxacin (NFX) degradation, among which 1O₂ is dominant. The optimal HNTs@CoO/C also effectively removes other contaminants like sulfadiazine (SDZ), tetracycline (TC), oxytetracycline (OTC), and carbamazepine (CBZ). Moreover, anchoring HNTs@CoO/C on a used cotton towel forms a 2D evaporator. Under the simulated sunlight, it has a good photothermal conversion ability, heating from 19.9 °C to 40.3 °C in 8 min. As a floatable system, it efficiently evaporates water and degrades contaminants in the presence of PMS. These results indicate the potential of this approach for water treatment and resource utilization.Accepted versionRP 5/23 EA
Why are some articles highly cited in applied linguistics? A bibliometric stud
No full textThe open access publication is available at https://doi.org/10.1017/s0272263124000743This study investigated factors influencing the citations of highly cited applied linguistics research over two decades. With a pool of 302 of the top 1% most cited articles in the field, we identified 11 extrinsic factors that were independent of scientific merit but could significantly predict citation counts, including journal-related, author-related, and article-related features. Specifically, the results of multiple linear regression models showed that the time-normalized article citations were significantly predicted by the number of authors, subfield, methodology, title length, CiteScore, accessibility, and scholar h-index. The remaining factors did not exhibit any statistical significance, including the number of references, funding, internationality, and geographical origin. The combined predictive power of all these factors (R²=.208, p<.05) verifies the role of nonscientific factors contributing to high citations for applied linguistics research. These results encourage applied linguistics researchers and practitioners to recognize the underlying forces affecting research impact and highlight the need for a reward system that exclusively favors sound academic practices
《欢乐伙伴》和《YCT标准教程》两套中文系列教材中的饮食词汇 (Diet vocabulary in two series of textbooks - "Huanle huoban" and "YCT standard course"
No full text本研究以《欢乐伙伴》和《YCT 标准教程》两套汉语教材为研究对象，系统分析教材中食物类词汇的分布特征、复现率、语境设计及文化导入方式，探讨汉语教
育的特点与优化方向。研究发现，《YCT 标准教程》主要通过高频基础词汇复现、简化语境设计来夯实初学者语言基础；《欢乐伙伴》则强调词汇的语境化应用，
将真实生活场景与文化词汇渗透相结合以提升学习者认知能力。研究进一步提出
教材优化建议：扩展绿色生活相关词汇；增加跨文化饮食词汇引入量以拓展国际
视野；强化词汇教学的语义多义性以提升语言素养与表达能力。研究同时指出当
前存在语料样本覆盖面较窄、词汇分析维度单一等问题，建议未来应增加研究对
象，融合多维度语义网络分析与教师课堂观察，使研究更具系统性和应用价值。
该研究有助于完善汉语教材词汇规划，为国际中文教育提供支撑与借鉴
Epistemic infrastructure in STEM hackathons
No full textSTEM (science, technology, engineering, mathematics) hackathons have been conducted to offer opportunities for diverse participants to work collaboratively and intensely on tasks within a short period. However, most literature about hackathons does not offer theoretical discussions on the affordances of such learning contexts for school students. This paper reports on an inaugural event of a STEM capital-building program designed for students with relatively less access to STEM capital than their peers. Using epistemic infrastructure (EI) as the theoretical framework, we unpack the affordances of a STEM hackathon in terms of its cultural space, embodiments of artifacts, and practices (three tenets of EI) in building STEM capital. A total of 115 Grade 9 Singapore students from seven public schools participated in a purposeful 3-year STEM capital-building program. The data collected include video recordings of the activities, interviews with students and teachers, and photographs. The qualitative data were analyzed using prescriptive codes identified from the synthesis of the literature about epistemic infrastructure. The findings illuminated the three tenets of EI, and an additional tenet on social agency in EI was identified and discussed. The study contributes to the theorization of STEM curriculum and has implications for the design and implementation of informal STEM curriculum such as hackathons for STEM capital building.Accepted versio
Recent advances in photocatalytic H₂O₂ production: Modification strategies of 2D materials and in situ application of H₂O₂
No full textEnvironmental pollution and the energy crisis are two major problems that threaten human health and restrict industrial development. Hydrogen peroxide (H2O2) is a green oxidant and clean energy widely used in sterilization, degradation of pollutants and as an energy carrier, which is one of the important strategies to solve these two major problems. In recent years, solar-driven photocatalytic production of H2O2 has gained significant attention and been extensively studied. Two dimensional (2D) material photocatalysts offer promising prospects and distinct advantages for H2O2 production. However, their performance is hindered by challenges such as rapid electron–hole recombination, wide bandgaps, and slow reaction kinetics. Additionally, the high solubility of H2O2 in water and its tendency to decompose easily make it difficult to recover from solutions containing sacrificial agents, thereby restricting its practical applications. To the best of our knowledge, there are few reviews focused on the photocatalytic production of H2O2 using 2D material composite catalysts and its in situ applications. This review provides a detailed discussion of various strategies, including introducing vacancy defects, elemental doping, heterojunction engineering, functionalization and multi-strategy coupling, to improve the photocatalytic performance of 2D material composite photocatalysts. Furthermore, this review highlights the in situ applications of H2O2 produced through photocatalysis in diverse fields, including water purification, sterilization, and pharmaceutical intermediate synthesis. It concludes by outlining the key challenges in the photocatalytic production of H2O2 and proposing practical solutions.Accepted versionRP 5/23 EA
Machine learning models to predict individual cognitive load in collaborative learning: Combining fNIRS and eye-tracking data
No full textThe open access publication is available at https://doi.org/10.3390/make7020051Effectively leveraging cognitive load predictions helps optimize collaborative learning design and implementation. This study explored the feasibility of predicting individual learners’ cognitive load during collaborative learning using a combination of functional near-infrared spectroscopy (fNIRS) and eye-tracking data. A total of 188 valid collaborative events collected from 78 graduate students who engaged in three collaborative ideation tasks were analyzed using various machine learning algorithms applied to classify cognitive load levels. Nine features, derived from both fNIRS and eye-tracking data, were used as input for the models. Results demonstrated that machine learning models could accurately predict individual cognitive load, with the Random Forest model achieving the highest performance (F1 score = 0.84). Furthermore, the integration of fNIRS and eye-tracking data significantly enhanced predictive performance, with the multimodal model achieving an F1 score 0.87—outperforming the eye-tracking-only model (F1 = 0.79) by 8% and the fNIRS-only model (F1 = 0.68) by 19%. Analysis of feature importance revealed that “Total Fixation Duration”, “Average Inter-Fixation Degree”, and prefrontal cortex activity were among the strongest predictors of learners’ cognitive load. These findings have implications for understanding cognitive load dynamics and designing effective collaborative learning environments and human–computer interfaces
Teacher professional learning: The Singapore perspective
No full textThis book provides an insider’s perspective of the Singapore education system that views teacher capacity building as a key lever for quality educational experiences. It describes experiences from policy conceptualisation to practice implementations of teacher learning. This book includes international perspectives in the form of expert commentaries and critique where comparisons are made between Singapore’s experiences and those of other education systems. It also describes the complexities of teacher professional learning within and across three levels: policies, partnerships, and schools, that shape policy to practice implementations of teacher professional learning from pre-service to in-service teachers