In this work, a series of BaTiO3-based ceramic materials, Ba(Al0.5Nb0.5)xTi1-xO3 (x = 0, 0.04, 0.06, 0.08), were synthesized using a standard solid-state reaction technique. X-ray diffraction profiles indicated that the Al+Nb co-doping into BaTiO3 does not change the crystal structure significantly with a doping concentration up to 8 %. The doping ions exist in Al3+ and Nb5+ chemical states, as revealed by X-ray photoelectron spectroscopy. The frequencydependent complex dielectric properties and electric modulus were studied in the temperature range of 100~380 K. A colossal dielectric permittivity (>1.5 × 104) and low dielectric loss (<0.01) were demonstrated at the optimal dopant concentration x = 0.04. The observed dielectric behavior of Ba(Al0.5Nb0.5)xTi1-xO3 ceramics can be attributed to the Universal Dielectric Response. The complex electric modulus spectra indicated the grains exhibited a significant decrease in capacitance and permittivity with increasing co-doping concentration. Our results provide insight into the roles of donor and acceptor co-doping on the properties of BaTiO3-based ceramics, which is important for dielectric and energy storage applications.

Artificial photosynthesis harnesses clean and sustainable solar power to catalyze the conversion of CO2 and H2O molecules into valuable chemicals and O2. This sustainable approach combines energy conversion with environmental pollution control. Non-oxide photocatalysts with broad visible-light absorption and suitable band structures, hold immense potential for CO2 conversion. Nevertheless, they still face numerous challenges in practical applications, particularly in CO2 conversion with H2O. Surface modification and functionalization play the significant role in improving the activity of non-oxide photocatalysts. Multifarious strategies, such as cocatalyst loading, surface regulation, doping engineering, and heterostructure construction, have been explored to optimize light harvesting, bandgap driving force, electron–hole pairs separation/transfer, CO2 adsorption, activation, and catalysis processes. This review summarizes recent progress in surface modification strategies for non-oxide photocatalysts and discusses their enhancement mechanisms for efficient CO2 conversion. These insights are expected to guide the design of high-performance non-oxide photocatalyst systems.

Exploring highly efficient, and low-cost oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) catalysts is extremely vital for the commercial application of advanced energy storage and conversion devices. Herein, a series of graphene-like C2N supported TMx@C2N, (TM = Fe, Co, Ni, and Cu, x = 1, 2) single- and dual-atom catalysts are designed. Their catalytic performance is systematically evaluated by means of spin-polarized density functional theory (DFT) computations coupled with hydrogen electrode model. Regulating metal atom and pairs can widely tune the catalytic performance. The most promising ORR/OER bifunctional activity can be realized on Cu2@ C2N with lowest overpotential of 0.46 and 0.38 V for ORR and OER, respectively. Ni2@ C2N and Ni@C2N can also exhibit good bifunctional activity through effectively balancing the adsorption strength of intermediates. The correlation of reaction overpotential with adsorption free energy is well established to track the activity and reveal the activity origin, indicating that catalytic activity is intrinsically governed by the adsorption strength of reaction intermediates. The key to achieve high catalytic activity is to effectively balance the adsorption of multiple reactive intermediates by means of the synergetic effect of suitably screened bimetal atoms. Our results also demonstrate that lattice strain can effectively regulate the adsorption free energies of reaction intermediates, regarding it as an efficient strategy to tune ORR/OER activity. This study could provide a significant guidance for the discovery and design of highly active noble-metal-free carbon-based ORR/OER catalysts.

이 연구는 애니메이션 <스파이더맨: 뉴 유니버스>에서 색채 심리학 이 캐릭터 형성과 서사에 미치는 영향을 탐구한다. 연구는 색채가 애니 메이션 영화에서 감정 전달, 캐릭터 개성 형성, 이야기 발전에 대한 잠 재력을 밝히려고 한다. 정성적 분석 방법을 사용하여 영화 내 색채 사 용을 해석하고, 특히 색채가 캐릭터의 감정 표현과 관객의 감정 반응에 어떻게 영향을 미치는지 조사했다. 연구 결과는 <스파이더맨: 뉴 유니 버스>에서 색채 사용이 캐릭터 이미지의 깊이와 감정의 풍부함을 증진 시키고, 서사의 동적성과 시각적 매력을 강화함을 보여준다. 색채 변화 를 통해 영화는 감정과 주제를 성공적으로 전달하고, 관객의 감정 공명 과 이야기 이해를 증진한다. 색채의 전략적 사용은 캐릭터 간의 관계와 이야기의 핵심 전환점을 강조하여, 시각적 서사에서 색채의 필수적인 역할을 보여준다. 이 연구는 애니메이션 영화 제작에서 색채 심리학의 적용을 더 깊이 탐구할 필요성을 강조하며, 향후 연구에서 정량적 연구 방법을 사용하여 색채가 관객 인식과 감정 반응에 미치는 영향에 대한 실증 데이터를 수집할 것을 제안한다. 동시에, 문화적 배경과 개인 경 험이 색채 인식에 미치는 영향을 고려한 개인 차이를 더 깊이 탐구할 필요가 있다.

Contact linguistics takes the series of linguistic phenomena in the process of language contact as the research content, and explores the changes of the languages and their results. When language contact occurs between Chinese and Korean, the linguistic phenomena occurring in the aspects of phonology, syntax, vocabulary, and characters are one of the important results. Sino-Korean Rhyme Dictionaries are language tools that are mainly arranged by rhyme. Such dictionaries annotate the pronunciation of Chinese characters, correcting the incorrect pronunciation of Chinese characters in Korea, and occasionally interpreting the meaning, and recording some glyphs of variants, which provide the convenience for extracting poems and lyrics, as well as reciting rhyming characters. From the perspective of the developmental history of Chinese dictionaries in Korea, rhyming books are the beginning of Chinese dictionaries in Korea, which have abundant content and significant value, and are indispensable and valuable materials for the study of Chinese-Korean contact linguistics.

In the “宀” radical of Shuowen Jiezi (說文解字): “家，凥也。从宀，豭省聲。𠖔，古文 家.” Duan Yucai believed that, the character “家” (jia) is composed of the radicals “宀” and “豕”, and should be classified under the radical “豕” instead of “宀”. The so-called “豭省聲” mentioned by Xu Shen is baseless. Based on the research of scholars in the Qing Dynasty, as well as the evidence from oracle bone inscriptions and bronze inscriptions, it can be concluded that “豭” is a newly created character, and its ancient form should be “𢑓”, which is “豕” with an additional semantic stroke indicating a male pig. The original intention of “豭省聲” should be to omit the character form of “叚” while preserve the pronunciation of “叚”. This takes into account both the ideographic character “家” derived from “ (𢑓)” and the phonetic-semantic character “家” derived from “ (豭)”. Duan Yucai proposed the concepts of “the original meaning of character creation” and “the original sense of character usage” to distinguish between the original meaning and the extended borrowed meaning, which is the value of his theory.

This paper presents the construction and characterization of an amperometric immunosensor based on the graphene/gold nanoparticles (AuNPs/GO) nanocomposite for the detection of the bladder cancer biomarker, apolipoprotein A1 (Apo-A1). The morphological analysis of the AuNPs/GO nanocomposite demonstrated an almost spherical shape of AuNPs and the successful coverage of their surface by graphene oxide. An increased G peak and decreased D peak after the association of AuNPs with GO, implied a reduction in graphene defects. The X-ray photoelectron spectroscopy (XPS) indicated a significant decrease in the quantity of oxygen-containing functional groups in the AuNPs/GO nanocomposite, as compared to the original GO. Furthermore, the developed sensor demonstrated commendable sensitivity and selectivity, with a wide linear range for Apo-A1 detection. Importantly, the immunosensor exhibited remarkable stability over a period of 14 days, signifying its potential for practical applications.

The lightweight and high strength characteristics of aluminum alloy materials make them have promising prospects in the field of construction engineering. This paper primarily focuses on aluminum alloy materials. Aluminum alloy was combined with concrete, wood and carbon fiber reinforced plastic (CFRP) cloth to create a composite column. The axial compression test was then conducted to understand the mechanical properties of different composite structures. It was found that the pure aluminum tube exhibited poor performance in the axial compression test, with an ultimate load of only 302.56 kN. However, the performance of the various composite columns showed varying degrees of improvement. With the increase of the load, the displacement and strain of each specimen rapidly increased, and after reaching the ultimate load, both load and strain gradually decreased. In comparison, the aluminum alloy-concrete composite column performed better than the aluminum alloy-wood composite column, while the aluminum alloy-wood-CFRP cloth composite column demonstrated superior performance. These results highlight excellent performance potential for aluminum alloy-wood-CFRP composite columns in practical applications.

This paper presents an electrochemical immunosensor using a graphene/multi-walled carbon nanotube (MWCNT) composite platform for detecting the cardiovascular marker C-reactive protein (CRP). The immunosensor exhibited a linear detection range of 0.20–100 ng/mL CRP with a low limit of detection reaching 0.081 ng/mL. The composite material provided a 3D porous structure that allowed efficient antibody immobilization and minimized steric hindrance. The sensor showed high specificity, with minimal response to interfering substances. Using differential pulse voltammetry, the immunosensor demonstrated exceptional precision, rapid detection, and a direct correlation between CRP concentration and sensor response current. Overall, this work highlights the potential of the graphene/MWCNT composite platform as a robust tool for early CRP detection and cardiovascular disease risk assessment. The immunosensor provides sensitive and selective CRP quantification that could enable timely clinical intervention for at-risk individuals.

Background: Problem-based learning (PBL) is presented as a superior teaching method compared to existing lecture-based learning. Objectives: To analyzed the effectiveness of creative problem-solving competency, class participation, and self-efficacy in physical therapy students after PBL. Design: Questionnaire design. Methods: This study involved 29 physical therapy students and analyzed changes in their creative problem-solving competency, class participation, and self-efficacy and the correlations between these measurement variables before and after PBL on the “Therapeutic Exercise & Practice” subject. Results: PBL in the musculoskeletal exercise therapy-related subject significantly improved class participation and self-efficacy (P<.05) compared to conventional lecture-based learning, but there was no significant difference in creative problem-solving competency. There was also a positive correlation between a higher level of class participation and higher self-efficacy (P<.05). Conclusions: PBL in the “Therapeutic Exercise & Practice” subject in the Department of Physical Therapy can be an effective educational strategy to increase students’ class participation and self-efficacy. Accordingly, instructors in this department should systematically construct the design of PBL curricula to improve the quality of educational content.

Aurantii Fructus Immature (AFI) and Aurantii Fructus (AF) are two important traditional Chinese herbs. As the harvesting time varies, the medicinal value of the plants is not uniform. Consequently, it has been difficult to quickly recognize them within the realm of traditional Chinese medicine. Separation and detection technologies are employed in combination to create fingerprints for identification. We proposed the utilization of graphene-assisted electrochemical fingerprint technology to acquire fingerprints of two varieties of medicinal materials. Simultaneously, we also obtained their fingerprints through HPLC. Two fingerprint recognition technologies were compared for their effectiveness. The findings demonstrate that the signals obtained through electrochemical fingerprinting have a higher recognition rate.

In recent years, supercapacitors have attracted extensive attention due to their advantages such as fast charge and discharge rate, high power density and long cycle life. Because of its unique porous structure and excellent electrochemical properties, heteroatom-doped porous carbon (HPC) is deemed as a promising electrode material for supercapacitors. However, it is a great challenge to synthesize electrode materials with large surface area, ultra-high porosity and good electrochemical performance. In this work, two-dimensional conjugated microporous polymers (CMPs) containing ketones were synthesized by a simple one-step coupling reaction and used as carbon precursors. A series of samples (CMP-Ts) were prepared with the procedures of coupling reaction and carbonization. The optimized carbon material has high specific surface area (up to 2229.85 m2 g− 1), porous structure, high specific capacitance (375 F g− 1 at 0.5 A g− 1), and good cycling stability (capacitance retention of 98.8% after 1000 cycles at 5 A g− 1). Further, the supercapacitor has an energy density of 28.8 Wh kg− 1 at a power density of 5000 W kg− 1. This work lays a foundation for the preparation of carbon materials using microporous polymer as a precursor system, provides a new way of thinking, and demonstrates a great potential of high-performance supercapacitors.

This study presents the synthesis, characterization, and utilization of marine macroalgae-derived bio-carbon catalysts (BC and KOH-AC) for the efficient conversion of waste cooking oil (WCO) into biodiesel. The biochar (BC) was produced through slow pyrolysis of macroalgal biomass, which was subsequently activated with potassium hydroxide (KOH) to produce a KOH-modified activated carbon (KOH-AC) catalyst. Advanced characterization techniques, including SEM, EDX, XRD, FTIR, and TGA, were used to examine the physicochemical characteristics of the catalysts. The synthesized catalysts were utilized to produce biodiesel from WCO, and the results revealed that the highest biodiesel yields, 98.96%, and 47.54%, were obtained using KOH-AC and BC catalysts, respectively, under optimal reaction conditions of 66 °C temperature, 12.3 M/O molar ratio, 130 min time, and 3.08 wt.% catalyst loading via RSM optimization. The kinetic and thermodynamic parameters, such as k, Ea, ΔH, ΔS, and ΔG, were determined to be 0.0346 min− 1, 43.31 kJ mol− 1, 38.98 kJ mol− 1, − 158.38 J K− 1 mol− 1, and 92.58 kJ mol− 1, respectively. The KOH-AC catalyst was recycled up to five times, with a significant biodiesel yield of 80.37%. The fuel properties of the biodiesel met ASTM (D6751) specifications, ensuring that it has excellent fuel characteristics and can be used as an alternative fuel.

Decabromodiphenyl ether (BDE209) is a persistent aromatic compound widely associated with environmental pollutants. Given its persistence and possible bioaccumulation, exploring a feasible technique to eradicate BDE209 efficiently is critical for today’s environmentally sustainable societies. Herein, an advanced nanocomposite is elaborately constructed, in which a large number of titanium dioxide ( TiO2) nanoparticles are anchored uniformly on two-dimensional graphene oxide (GO) nanosheets ( TiO2/GO) via a modified Hummer’s method and subsequent solvothermal treatment to achieve efficient photocatalytic degradation BDE209. The obtained TiO2/ GO photocatalyst has excellent photocatalytic due to the intense coupling between conductive GO nanosheets and TiO2 nanoparticles. Under the optimal photocatalytic degradation test conditions, the degradation efficiency of BDE209 is more than 90%. In addition, this study also provides an efficient route for designing highly active catalytic materials.

AI recommendation service is adopted in consumption consulting such as high-tech and fashion consumption (Thapliyal & Ahuj, 2021). Now, for high-tech and fashion products, the advance selling strategy is widely adopted. Thus, this study targets to detective the consumers’ preference toward AI agents comparing human agents under advance selling and spot selling. The independent variable of this study is consumption type: Pre-sale Products vs. Spot Products. Pre-sale Products are quite popular currently, especially technological products. Construal-level theory (CLT) offers a valuable framework to explain the mechanisms that trigger evaluations, predictions, and behaviors by linking the degree of mental abstraction (the construal level) to psychological distance (Trope & Liberman, 2000; 2003; 2010). Four dimensions including temporal, special, social, and probability distance are argued to present the psychological distance (Trope et al., 2007). Liberman et al. (2022) discuss the time distance and argue the distant-future events are represented in a more abstract, structured, high-level manner than near-future events. Kim & Duhachek (2020) draw on a dimension of persuasion by AI agents to posit that AI agents are perceived as low-construal agents because of the fact that people hold a lay theory that AI agents do not have superordinate goals and cannot learn from their experiences or possess consciousness like humans do. Consequently, they find that individuals perceive greater appropriateness and are more persuaded when an AI agent’s persuasive messages highlight low-construal as opposed to high-construal features. Moreover, consumers prefer abstract information related to a certain product rather than concrete information when a purchase is to take place in the distant future or when construal levels are high (Hernandez et al., 2015). Thus, this research hypothesizes: When consumers buy pre-sale products (vs. spot products), human agents will be the more favorable service provider than AI agents since the consumer is under a high level of construal. This research proposes to adopt a 2 (Advance Selling vs. Spot Selling) x 2 (Short Psychological Distance vs. Far Psychological Distance) x 2 (AI Agents vs. Human Agents) between groups experimental study to test the main effects and mechanism (H1). Furthermore, this study would identify the key moderating effects to discuss the boundary effects of the mechanism for establishing marketing strategies with AI services for managers.

The research aims to estimate the role of SMAs implementation in impacting event image, commemorative product perceived value, and TBIs in the context of sports tourism events. Additionally, this study analyzes the effects of perceived value and event image on TBIs. This article focuses on the following research questions: (1) What is the SMAs' influence on TBIs? (2) What is the impact of SMAs on event image and commemorative product perceived value? (3) What is the role of event image and product perceived value in the relationships between SMAs and TBIs in the sports tourism context? The data collection was done during the Beijing Winter Olympic Games to address the research goals. The study examines the data from 315 valid questionnaires from tourists in the Chinese market by SEM (structural equation modeling).

This study investigated the key factors that explain the continuous usage intention of mobile payment users in the post COVID-19 pandemic era. Based on the health belief model (HBM) and communication privacy management (CPM) theory, this study examined how the five constructs of HBM influence mobile payments continuous usage intention through perceived privacy risk and perceived security. It also investigated the moderating role of perceived privacy awareness on the relationship between perceived privacy risk and continuous usage intention as well as the moderating role of information sensitivity on the relationship between perceived security and continuous usage intention.

With the popularity of live streaming commerce, the characteristics of streamers and products subtly influence consumer behavior through visual live streaming form. Based on dual-process theory, this paper develops a comprehensive theoretical model to examine how consumer perceived streamer characteristics and product characteristics influence streamer attractiveness and product attractiveness, and explore how consumer behavior inertia is affected by streamer attractiveness and product attractiveness. An online survey consisting of 300 participants was recruited to empirically examine the proposed research model. The results indicated that consumer perceived streamer characteristics and product characteristics are important factors affecting the streamer attractiveness and product attractiveness, which in turn positively affect consumer’s shopping experience memory, which further influence consumer behavior inertia. In addition, the moderating effects of mindfulness are also examined.