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Defining and validating a map of related technologies is critical for managers, investors and inventors. Because of the increase in the applications of and demand for semiconductor lasers, analyzing the technological position of developers has become increasingly critical. Therefore, the purpose of this study is to adopt the technological position analysis to identify mainstream technologies and developments relevant to semiconductor lasers.

Correspondence analysis and k-means cluster analysis, which are data mining techniques, are used to reveal strategic groups of major competitors in the semiconductor laser market according to their Patent Cooperation Treaty (PCT) patent applications.

The results of this study reveal that PCT patent applications are generally obtained for masers, optical elements, semiconductor devices and methods for measuring and that technology developers have varying technological positions.

Through position analysis, this study identifies the technological focuses of different manufacturers to obtain information that can guide the allocation of research and development resources.

This study aims to perform a comprehensive comparative analysis of the performance of microchannel heat sinks (MCHS) across a wide range of operating conditions. It investigates the interplay between heat transfer efficiency, frictional effects and flow dynamics in different channel configurations and fluid types.

The analysis is conducted through numerical simulations, solving the governing equations for mass, momentum and energy conservation. Multiple channel geometries are evaluated, each incorporating specific strategies to disrupt the thermal boundary layer along the heated channel surface. The study also considers the influence of transverse vorticity effects arising from abrupt or smooth geometric variations. The performance is assessed for three distinct fluids – mercury, helium and water – to examine the complex interplay between fluid properties (e.g. viscosity and thermal diffusivity), momentum losses and heat transfer gains. Key parameters, including the Reynolds number and Prandtl number, are systematically varied to uncover their impact on heat transfer coefficients, vorticity distribution and flow stability.

The study reveals that microchannels with wavy geometries and double internal bifurcations consistently deliver superior thermal performance compared to other configurations, regardless of the working fluid. The results highlight that variations in the Prandtl number significantly influence the dimensional convective heat transfer coefficient, vorticity patterns and the onset of fluid-dynamic instabilities for a fixed Reynolds number and geometry. The authors introduce a correlation for the Nusselt number with the exponents for the Reynolds and Prandtl numbers being ½ and ¼, respectively; the authors also show that, in agreement with existing literature, the friction factor is primarily affected by the Reynolds number and channel shape, demonstrating no dependence on the Prandtl number.

This research provides novel insights into the non-linear scaling of heat transfer and momentum loss with fluid properties in MCHS. The systematic exploration of fluid and geometric interactions enriches the current understanding of microchannel heat transfer mechanisms, presenting actionable recommendations for real-world applications.

The construction sector is highly prone to accidents, traditionally assessed using subjective qualitative measurements. To enhance the allocation of risk management resources and identify high-risk projects during pre-construction, an objective and quantitative approach is necessary. This study introduces a three-step clustering methodology to quantitatively evaluate accident risk levels in construction projects.

In the first step, accident and total construction revenue by project were collected to calculate accident probabilities. In the second step, accident probabilities were calculated by project type using the data collected in the first step. After that, benchmark models were suggested using clustering methods to identify high-risk project types for risk management. Before suggesting the benchmark models, an uncertainty analysis was conducted due to the limited amount of data. In the third step, the suggested benchmark models were validated for accuracy.

The results categorized risk levels for fatalities and injuries into four distinct groups. Validation through ordinal logistic regression demonstrated high explanatory power, with fatality risk levels ranging from 79.9 to 100% and injury risk levels from 90.3 to 100%.

This benchmark model facilitates effective comparisons and analyses across various construction sectors and countries, offering a robust quantitative standard for risk management. By identifying high-risk projects such as “Dam,” this methodology enables better resource allocation during the pre-construction phase, thereby improving overall safety management in the construction industry and providing a basis for legislative applications.

We aim to investigate the impact of different story types on small fashion business brand trust and purchase intention, guided by signaling theory. We investigate two potential moderators – product aesthetic judgment (i.e. consumers’ responses to the aesthetic aspects of a product) and underdog positioning (i.e. brand’s positioning as a loser that is not a leader in the marketplace and has only a small market share but puts efforts into creating valuable products) – that may influence consumers’ responses to a story.

We developed video stimuli that tell business stories to empirically compare two story types bringing brand trust: identity-focused and product-focused stories. We conducted two experimental studies and tested six hypotheses with 302 datasets. Study 1 compared eco-friendly storytelling with product-focused storytelling, considering perceived product aesthetic judgment as the moderator. Study 2 repeated the experiment with a founder story and a product-focused story, considering the perceived underdog as the moderator.

The findings suggest that the influence of eco-friendly storytelling, compared to product-focused storytelling, on higher purchase intention is fully mediated by brand trust. Consumers’ perceived product aesthetic judgments toward an eco-friendly product can positively moderate the storytelling effect and brand trust. However, founder storytelling did not bring higher brand trust and, consequently, had no significant impact on purchase intention. Similarly, the perceived underdog did not moderate this relationship.

The study is novel as it is one of the first to compare story types based on story contents, whereas previous studies have focused on story delivery. Especially, we explored which story types and contents effectively build brand trust for small businesses, a critical factor for their success. Based on the extant literature, we categorized story types into identity-focused stories and product-focused stories based on contents. We hypothesized and concluded that an identity-focused story can be more effective in eliciting consumer responses. Furthermore, we confirm the critical role of brand trust as a mediator in bringing about purchase intention through eco-friendly storytelling.

The purpose of this study is to explore how realistic job previews can mitigate the negative relationship between perceived leader behavioral integrity and employees’ perceptions of psychological contract breach.

A between-subjects field experiment was conducted in the hotel industry. Five waves of data were collected from 104 newcomers over a four-month period.

The results indicated that perceiving leader behavioral integrity reduces newcomer psychological contract breach, turnover intention and increases job performance. The intervention of realistic job previews effectively mitigated the negative relationship between behavioral integrity and psychological contract breach when leader–member value congruence was low.

The findings of this study offer actionable strategies for hotel professionals to improve employment outcomes, particularly during the pre-entry phase and the early socialization process of newcomers.

By integrating social exchange theory and expectancy theory within a framework of employees’ psychological contract breach, this study reveals the positive effects of realistic job previews on creating a positive work experience of newcomers.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.

Aqueous zinc-ion battery has broad application prospects in smart grid energy storage, power tools and other fields. Co₃O₄ is one of the ideal cathode materials for water zinc-ion batteries due to their high theoretical capacity, simple synthesis, low cost and environmental friendliness. Many studies were concentrated on the synthesis, design and doping of cathodes, but the effect of process parameters on morphology and performance was rarely reported.

Herein, Co₃O₄ cathode material based on carbon cloth (Co₃O₄/CC) was prepared by different temperatures hydrothermal synthesis method. The temperatures of hydrothermal reaction are 100°C, 120°C, 130°C and 140°C, respectively. The influence of temperatures on the microstructures of the cathodes and electrochemical performance of zinc ion batteries were investigated by X-ray diffraction analysis, scanning electron microscopy, cyclic voltammetry curve, electrochemical charging and discharging behavior and electrochemical impedance spectroscopy test.

The results show that the Co₃O₄/CC material synthesized at 120°C has good performance. Co₃O₄/CC nanowire has a uniform distribution, regular surface and small size on carbon cloth. The zinc-ion battery has excellent rate performance and low reaction resistance. In the voltage range of 0.01–2.2 V, when the current density is 1 A/g, the specific capacity of the battery is 108.2 mAh/g for the first discharge and the specific capacity of the battery is 142.6 mAh/g after 60 charge and discharge cycles.

The study aims to investigate the effect of process parameters on the performance of zinc-ion batteries systematically and optimized applicable reaction temperature.

This paper aims to propose the sensory stimulation spillover effect phenomenon, defined as the process by which sensory stimulation in one area generates positive impressions and favorably impacts opinions in other areas. Specifically, this paper demonstrates that the spillover effect of sensory priming via an advertised brand impacts the viewer’s self-brand connections (the mental representation of a brand connected to an individual’s self-concept), brand attitude and brand purchase intention.

Across six experiments, 883 participants considered advertised brands from diverse product categories (food snacks, electronics and detergent). The multisensory prime in Studies 1–3 uses positively valenced sensory imagery and text, whereas the multisensory prime in Studies 4–6 is a sensory imaging task. Studies 1–4 examine the spillover effect of the multisensory prime on consumers’ self-brand connections, as well as downstream brand-related variables. Studies 5 and 6, respectively, examined the moderating roles of advertising appeal, regulatory focus (promotion vs prevention) and cognitive versus affective tone.

Results provide robust evidence of the proposed sensory stimulation spillover effect. Sensory priming strengthens self-brand connections and positively impacts brand attitude and purchase intention; self-brand connections mediate the relationship between a multisensory prime and brand attitude and purchase intention. The sensory stimulation spillover effect is stronger when advertisements have a promotion (vs prevention) focus and particularly for participants with a stronger intrinsic promotion (vs prevention) orientation, as well as for advertisements with an affective (vs a cognitive) tone.

The authors manipulated sensory stimulation using visual images and text as well as using a multisensory-imaging task. Future work can explore the use of actual sensory stimulation, and retail spaces or public venues may provide opportunities for field experiments to study sensory stimulation in situ.

The research focuses on spillover effects in an advertising context with broader implications for consumers’ in-store shopping experiences based on multisensory store architecture and atmospherics, as well as online shopping that is impacted by multisensory information.

This paper introduces the phenomenon of sensory stimulation spillover effect, the process by which sensory stimulation in one area generates positive impressions and favorably impacts opinions in other areas and demonstrates that multisensory priming strengthens self-brand connections and downstream brand-related variables, with self-brand connections as the mediator. The results are robust across multiple product categories and are contingent upon the type of advertising appeal. The research focuses on spillover effects in an advertising context with broader implications for consumers’ in-store shopping experiences based on multisensory store architecture and atmospherics, as well as online shopping which is impacted by multisensory information.

To contribute to the identification of the parameters influencing the behavior of textile-reinforced concrete (TRC), the purpose of this paper is to investigate the flexural behavior of TRC-based plates under four-point bending notably designed in the context of sustainable development and the substitution of mortar components with natural and abundant materials.

An extensive experimental campaign was focused about two main parameters. The first one emphases the textile reinforcements, such as the number of layers, the nature and the textile mesh size. In the second step, the composition of the mortar matrix was explored through the use of dune sand as a substitute of the river one.

Test results in terms of load-displacement response and failure patterns were highlighted, discussed and confronted to literature ones. As key findings, an increase of the load-bearing capacity and ductility, comparable to the use of an industrially produced second textile layer was recorded with the use of dune sand in the mortar mix design. The designed ecofriendly samples with economic concerns denote the significance of obtained outcomes in this research study.

The novelty of the present work was to valorize the use of natural dune sand to design new TRC samples to respond to the environmental and economical requirements. The obtained values provide an improved textiles–matrix interface performance compared to classical TRC samples issued from the literature.