This study evaluates the determinants of Cambodia’s agricultural product exports from 2004 to 2023 across 35 major export destinations using the gravity model approach. During this period, China accounted for the largest share of export value, followed by Vietnam, France, Malaysia, and Thailand. Cambodia’s GDP and the GDP of its trading partners positively influenced the country’s agricultural exports. Moreover, the historical status of export destinations as former French colonies facilitated Cambodia’s export flows. In contrast, exchange rates and geographical distance negatively affected Cambodia’s agricultural trade. This study confirms the existence of significant untapped export potential between Cambodia and its trading partners. To optimize its agricultural exports, Cambodia can benefit from processing agricultural products before export. Therefore, the Royal Government of Cambodia (RGC) should actively support and promote investment in the agricultural processing industry to enhance the country’s international competitiveness. Additionally, the RGC and policymakers should strategically select export destinations through favorable trade negotiations and focus on the effective implementation of existing export policies.

In Cambodia, rubber is an important agricultural industry crop that produces latex and rubber wood. Cambodia exports most of its natural rubber to Vietnam, Malaysia, Singapore, China, and Spain. This study aimed to assess export competitiveness of Cambodian rubber using Revealed Comparative Advantage (RCA) and Trade Specialization Index (TSI) and to explore strategies for enhancing exports. This research analyzed secondary data from Trade Map and the General Directorate of Rubber (GDR) from 2002 to 2022. Findings show that Cambodia has a significant comparative advantage globally in natural rubber, with an RCA of 18. Particularly, Cambodia demonstrates substantial comparative advantages in its rubber exports to Vietnam, Malaysia, and China. Additionally, it has a high TSI, indicating a strong potential for expanding exports to these markets. However, Cambodia’s reliance on Vietnam for its rubber exports is high, highlighting the need for efforts to diversify its export markets.

Silicon carbide (β-SiC) was synthesized through an improved sol–gel method, then Ni/SiC catalysts were prepared using a hydrothermal method. The catalysts were characterized using TEM, H2- TPR, CO2- TPD and N2- TPD, etc. The results showed that the synthesized β-SiC had a large specific surface area, promoting the dispersion of Ni species and thus exposing more active sites. The interaction between Ni species and β-SiC contributed significantly to catalytic performance. Furthermore, the strong alkalinity of catalyst could adjust the bond energy of the active metal and N (M–N), which were conducive to desorption of the recombinant N2 from the metal surface, promoting to ammonia decomposition. Among the Ni/SiC catalysts, 30Ni/SiC-700 synthesized with the Ni loading of 30 wt% and calcination temperature of 700 °C, exhibited the optimal ammonia conversion rate of 93.4% at 600 °C under the space speed of 30,000 mL∙gcat −1∙h−1, and demonstrated a long-term stability, suggesting a very promising catalyst in ammonia decomposition.

사범대학 학생은 대학생일 뿐만 아니라 미래의 교사로서 자신의 핵심 소양을 향상시킬 뿐만 아니라 학생의 핵심 소양을 발전시키는 중요한 책 임을 져야 한다. 본 논문의 연구 목적은 사범생의 직업적 인식이 핵심 소양에 미치는 영향을 조사하는 것이다. 연구 방법은 정량적 연구 방법 과 SPSS 26.0 통계 소프트웨어를 사용하여 데이터를 분석하였다. 연구 결과는 사범생의 직업 정체성과 핵심 소양 사이에 유의미한 정적 상관관 계가 있음을 보여주며, 직업적 정체성의 각 차원은 핵심 소양에 예측 효 과가 있는 것을 보여 주었다. 이 연구를 통해 우리는 사범생의 핵심 소 양 형성에 영향을 미치는 요인과 메커니즘을 찾고 사범생의 인재 양성과 기초 교육 발전을 향상시키기 위한 이론적 참고 자료를 제공한다.

To reduce production cost and inhibit the aggregation of graphene, graphene oxide and copper nitrate solution were used as raw materials in the paper. Cu particles were introduced to the graphene nanosheets by in-situ chemical reduction method in the hydrazine hydrate and sodium hydroxide solution, and the copper matrix composite reinforced with Cu-doped graphene nanosheets were fabricated by powder metallurgy. The synthesized Cu-doped graphene was characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy (XPS). The relative density, hardness, electrical conductivity and tensile strength of the copper matrix composite reinforced with Cudoped graphene were measured as well. The results show that copper ions and graphene oxide can be effectively reduced by hydrazine hydrate simultaneously. Most of oxygen functional groups on the Cu-doped graphene sheets can be removed dramatically, and Cu-doped graphene inhibit the graphene aggregation effectively. Within the experimental range, the copper matrix composites have good comprehensive properties with 0.5 wt% Cu-doped graphene. The tensile strength and hardness are 221 MPa and 81.6 HV, respectively, corresponding to an increase of 23% and 59% compared to that of pure Cu, and the electrical conductivity reaches up to 93.96% IACS. However, excessive addition of Cu-doped graphene is not beneficial for the improvement on the hardness and electrical conductivity of copper matrix composite.

This research proposes the application of new technologies in tourism advertising to resonate with and respond to unconscious desires that are embodied within consumers. The ethnographic research first questions how consumers form their desires regarding tourism and illustrates that advertising does not create desire; consumer desires for travel, often embodied, exist before consumers are exposed to advertising messages. Such desires derive from past experiences, imagination and sensorial imageries learned from stimuli. Consumers react positively to multi-sensorial, empathetic messages. AI technologies, such as the convolutional neural network algorithm, can be used to apply traditional cultural symbols in art design (Lin 2021). Virtual mirror-based learning technology mirrors back to individuals their social network, identifying their most important contacts, influencers, and communication bottlenecks. The research aims to connect existing and future new technologies that provide the “posthuman mystic,” to offer consumers to experience a new level of their own being, giving room for different kinds of human relations--friendship, connection, and novelty --through one’s avatars (Bolger 2021) and to construct a “decentered, highly relational mode of reality giving agency to everyone, not only to all other humans, but to natural and technological subjects as well” (Delio 2020, p. 115). Such virtual world, with an example like the Metaverse, is “a combination of contextualization and wholemaking from the standpoint of posthumanism and mysticism” (Bolger 2021, p.768). The research then deciphers consumers’ positive reactions to websites that resonate with imagination sensorial desires, past experiences, desired activities and “LIVE” desires. Based on the findings, the research summarizes cross-disciplinary research of tourism advertising and new technologies 4.0 and conceptually illustrates how the applications of new technologies 4.0 may assist with the understanding of consumers’ multi-sensorial desires, imagination, and memories to design empathetic advertising messages. As such, advertisers may be in systematic dialogues with consumers and create multi-sensorial messages that resonate consumer desires.

In recent years E-commerce platforms recommend some products for consumers based on their shopping history and user persona. However, sometimes, unfamiliar products or styles would be recommended to consumers unintentionally or intentionally. Curiosity drives consumers to try but this idea would be declined with the consideration of product fit uncertainty. Augmented Reality (AR) is the integration of digital information with the user‘s environment in real-time (Hilken et al. 2018), it can deal with issues related to physical apprehension that hinder consumers’ online shopping (i.e, clothes, cosmetics), especially for the unfamiliar style. This study aims to investigate whether AR technology could improve consumers' purchase likelihood. Augmented Reality (AR) can enhance customer experiences in a multichannel environment (Hilken et al. 2017). AR Integrates online experiences into the offline experience (Hilken et al. 2018), such as virtual try-on or magic mirrors. Customers often find it difficult to imagine how firms’ products and services fit them personally or fit with their environment (Hilken et al. 2018). Drawn on AR, consumers can easily evaluate the fitness between themselves and the selected products. Prior studies have explored the different underlying processes of why AR technology could improve consumer purchase intention and customer experience. For instance, according to the situated cognition theory, AR creates a feeling of spatial presence (Hilken et al. 2017). The usage of AR benefits mental imagery, improving decision comfort (Heller et al. 2019). AR can compensate for consumers’ need for touch and offer hedonic and/or utilitarian benefits (Gatter et al. 2022). Based on media richness theory, AR offers more information for customers (Hoffmann et al. 2022), which represents a fitting concept for customers to evaluate the product (Javornik 2016).

Cracks are an inevitable problem during the use of materials, and flexible sensors with self-healing capability are of great importance for applications in wearable devices and skin-like electronic devices. This paper prepared self-healing flexible strain sensors by compounding self-healing polyurethane with carbon nanotubes. First, by changing the ratio of disulfide bonds, a good balance between mechanical properties and self-healing efficiency was achieved in the prepared self-healing polyurethane. The most balanced sample reached 12.28 MPa in tensile strength, after 24 h of self-repair at 30 °C, the tensile strength was 7.75 MPa, and the self-repair efficiency was 63.11%; after 24 h of self-repair at 80 °C, the tensile strength was 11.64 MPa, and the self-repair efficiency reached 94.79%. Then the sensors prepared by compounding with carbon nanotubes showed a good electrochemical response, and both slow and fast repeated bending of the finger wearing the sensors yielded significantly different electrical signal changes, and the sensors were cut off and still had the same function after self-repair at 30 °C, demonstrating their excellent potential for applications in soft robots, wearable devices, etc.

Carbon nanotubes (CNTs) were added into the self-healing polyurethane materials as conductive filler, the mass fraction of carbon nanotubes was adjusted, and 1% polyaniline was doped. The conductive self-healing polyurethane composites with different carbon nanotubes content (PU)-1/3/5/8/10 were prepared, and analyzed and tested. The result shows that the permeability threshold value of the composite material is 8wt%, and the comprehensive performance of the composite material PU-8 is the best; the resistance of PU-8 is 1278Ω, PU-8P has a resistance of 1400Ω; using an infrared camera, it can be seen that the material can reach 143.3 °C under the DC current of 0.1A, reaching the temperature condition when the material is repaired; the swelling test shows that the PU-8P equilibrium swelling rate is 177%, the gel content is 52.67%, and there is no dissolution in dimethyl sulfoxide. Solvent stability is better than PU-8;DSC test shows that the glass transition temperature of the soft segment of PU-8P is 43 °C, and the glass transition temperature of the hard segment is − 55 °C, which is not much different from that of PU-8; TG test shows that the epitaxial starting temperature of PU-8P is 365 °C; the observation photo is magnified by a stereo microscope at ten times and the PU-8P sample is cut of in the middle at room temperature, applying a constant voltage of 30 V, the cracks disappeared. The material cracks realized self-healing with electricity, and the repair efficiency reached 20.5%.

In the molecular cloud G33.92+0.11A, massive stars are forming sequentially in dense cores, probably due to interaction with accreted gas. Cold dense gas, which is likely the pristine gas of the cloud, is traced by DCN line and dust continuum emission. Clear chemical differences were observed in different source locations and for different velocity components in the same line of sight. Several distinct gas components coexist in the cloud: the pristine cold gas, the accreted dense gas, and warm turbulent gas, in addition to the star-forming dense clumps. Filaments of accreted gas occur in the northern part of the A1 and A5 clumps, and the velocity gradient along these features suggests that the gas is falling toward the cloud and may have triggered the most recent star formation. The large concentration of turbulent gas in the A2 clump seems to have formed mainly through disturbances from the outside.

The purpose of this study is to analyze the characteristics and symbolism of peony, the traditional noble flower, create knit fashion designer applying the aesthetic beauty of flower, and suggest the various possibility of developing knit fashion design. As for the study method, the study conducted review on literature and previous studies to investigate on history, characteristics, symbolism of peony, and examined various expressive technique through previous studies about fashion design using flower images. To express characteristics of peony in three dimensions, the study investigated and reflected on crochet expressive technique to design 4 women’s knitwear. The results are as below. First, as shape of peony is big, voluminous, fancy and noble, it symbolizes wealth and beauty. Including red which is the generally known color of peony, there are yellow, white, pink, purple, green, blue, black, gray, white purple, white color. This study reflected characteristics and symbolism of peony and created knit fashion design applying abundant aesthetic characteristics of flower. Second, crochet method is advantageous as it is operable with thread and hooked crochet hook without time and space restriction, it can create unique fashion design. Crochet knitting on hand knit can diversity changes to express relief textures, and as there is no limit in size, it can be applied to small props to big pieces. This study suggested the various possibility of knit fashion design development and various expressive possibility on modern fashion design.