Chen, C-F, Chuang, C-Y, Wang, C-C, Liu, S-A, Chang, H-W, and Chan, K-H. Lower repetition induces similar postactivation performance enhancement to repetition maximum after a single set of heavy-resistance exercise. J Strength Cond Res 38(5): 848-855, 2024-The study was divided into 2 parts to investigate the acute postactivation performance enhancement (PAPE) responses to lower repetitions at the same load of 87% 1 repetition maximum (1RM) in the upper and lower body. In part 1, 14 athletes performed plyometric push-up (PPU) after the conditioning activity (CA) of bench press (BP). In part 2, 13 athletes performed a countermovement jump (CMJ) after the CA of parallel squat (PS). Subjects completed 3, 4, or 5 repetitions (trials CA-3, CA-4, or CA-5) of BP or PS in randomized and counterbalanced order. The velocity of each movement of the trial was recorded. The PPU or CMJ was tested every 2 minutes after the trial up to 12 minutes to assess the Post-Max and optimal individual PAPE time. The mean velocity of the last movement of BP in CA-5 was significantly lower than that in CA-3 (0.23 ± 0.06 vs. 0.28 ± 0.06 m·second -1 , p < 0.05), and the velocity of PS in CA-4 or CA-5 was significantly lower than that in CA-3 (0.53 ± 0.07 and 0.50 ± 0.05 vs. 0.57 ± 0.07 m·second -1 , p < 0.05). The peak force of PPU and jump height of CMJ at Post-Max in the 3 trials were significantly greater than those at Pre ( p < 0.05). There were no significant differences among trials in the optimal individual PAPE times in either part of the study. A single set of 87% 1RM resistance exercises with 3 or 4 repetitions in both the upper body and the lower body induces similar PAPE to repetition maximum.

The 5G technology, known for its large bandwidth, high speed, low latency, and multi-connection capabilities, significantly accelerates digital transformation in enterprises, especially in addressing factory automation challenges. It facilitates efficient machine-to-machine (M2M) and device-to-device (D2D) connectivity, ensuring rapid data transfer and seamless process convergence under 5G standards. Although 5G offers substantial communication and low latency benefits, its limited indoor coverage requires the deployment of decentralized antennas or small base stations. In contrast, Wi-Fi 6 seamlessly complements 5G, providing superior indoor mobile connectivity. This integration is crucial for businesses looking to accelerate digital transformation. To optimize 5G, the deployment of devices such as bypass switches, SDN switches, and MEC in the 5G Local Breakout network enables user access control and fast authentication. Real-world validation confirms the effectiveness of these measures, which are expected to lead to the future of 5G mobile networks.

Resource-constrained firms rely on entrepreneurial bricolage to enhance innovative performance. In entrepreneurial bricolage, workers are considered intangible resources with which to construct new combinations. This study utilized labor inputs to identify the predictors of entrepreneurial bricolage and analyzed the relationship among the experiential resource-learning experience, human resource endowment, and entrepreneurial bricolage and the mediating role of creative self-efficacy. This study focused on small and medium-sized enterprises (SMEs) that have engaged in bricolage activities and presented products in cultural and creative parks. A questionnaire survey and structural equation modeling were used to verify the research framework. Experiential learning was positively associated with human resource endowment and positively influenced entrepreneurial bricolage. Moreover, creative self-efficacy mediated the relationship between human resource endowment and entrepreneurial bricolage. This study recommends that SMEs that intend to implement the bricolage strategy should invest some resources in experiments to gain experiential knowledge from learning workers and thus enhance their human resource endowment. Through such learning, employee confidence in their ability to create may increase. Managers or business owners should redesign work evaluation methods to support experimentation to promote knowledge accumulation. Organizations should create a creativity-friendly workplace to strengthen employees’ belief in their ability to engage in creative work.

Podcasting has become a popular medium for people to express themselves and share their knowledge with a global audience. However, there is still a lack of research on how podcasting can be used as a tool for education and personal development. The current study, framed in Jenkins’ participatory culture where artistic expression and civic engagement are valued, aimed to fill this gap in research. Ten Taiwanese undergraduate English majors were invited to take the role of podcasters to create their original podcast programs and upload them to popular podcast platforms. A podcaster diary was also kept by each participant to document his/her experience as a podcaster. It was found that the participants generally enjoyed the experience of creating their first podcast programs. Their various podcast topics largely reflected their current lifestyles and interests. Multiple learning opportunities were afforded by this experience as the participants learned to use their voices to share their lives and display their knowledge. These results highlighted the potential of podcasting as a tool for personal and professional growth in the digital age. It is hoped that these results will offer important insights on how to help students open up windows of opportunities for personal learning and career enhancement.

PurposeWhen encountering novel technology, customers often use the term “cool” to express their thoughts; therefore, coolness has become crucial for launching service robots. However, research on the impact mechanism of “coolness” is lacking. This study explored the relationship between delight and behavioral intention regarding the coolness of service robots in the food and beverage industry while discussing the mediating roles of utilitarian and hedonic values.Design/methodology/approachQuestionnaires were distributed online with links to the survey posted on restaurant discussion boards on Facebook and online community platforms such as Dcard. In total, 540 responses were deemed valid. The hypotheses were tested using the partial least squares structural equation modeling method.FindingsThe results indicate that coolness positively impacted both utilitarian and hedonic values and that both perceived values positively impacted delight. Moreover, coolness does not directly impact delight but must be mediated by perceived value to be effective.Practical implicationsIncreasing customer perceptions of the coolness of service robots is recommended. Moreover, regarding customer revisits, utilitarian value services can delight customers more effectively than hedonic value services.Originality/valueThe stimulus-organism-response model was used to identify the relationships among coolness, perceived value, delight and behavioral intention. Moreover, the authors investigated the impact of coolness on utilitarian and hedonic values. These findings are significant for the development of smart restaurants and provide a critical reference for exploring service robots.

The United Nations Sustainable Development Goals (SDGs) set common targets for countries all over the world for their economy and society. This research uses popular indices as antecedents (independent variables) to analyze the causal complexity of SDG achievements (outcome or dependent variable). For the antecedents, Inclusive Internet Index measures digital technology, Corruption Perception Index measures transparency and integrity, Global Innovation Index measures innovation, Global Entrepreneurship Monitor measures entrepreneurship, GDP measures economic growth, and Global Findex measures financial technology (fintech). It takes fuzzy set/Qualitative Comparative Analysis (fsQCA) as the research method and applies it to data spanning the years 2020 (30 common countries) and 2021 (28 common countries), respectively. The results show multiple relationships for both 2020 and 2021, and each relationship consists of multiple antecedents. In addition, the causal relationships of the two calendar years appear similar. Implications are discussed herein, and following the research results, countries with different competitive advantages can choose the proper causal relationship to facilitate their own SDG achievements.

PurposeThe study aims to propose an instrument for measuring product-centeredness (i.e. the extent to which comment content is related to a product) using word embedding techniques as well as explore its determinants.Design/methodology/approachThe study collected branded posts from 205 Instagram influencers and empirically examined how four factors (i.e. authenticity, vividness, coolness and influencer–product congruence) influence the content of the comments on branded posts.FindingsPost authenticity and congruence are shown to have positive effects on product-centeredness. The interaction between coolness and authenticity is also significant. The number of comments or likes on branded posts is not correlated with product-centeredness.Originality/valueIn social media influencer marketing, volume-based metrics such as the numbers of likes and comments have been researched and applied extensively. However, content-based metrics are urgently needed, as fans may ignore brands and focus on influencers. The proposed instrument for assessing comment content enables marketers to construct content-based metrics. Additionally, the authors' findings enhance the understanding of social media users' engagement behaviors.

Traditional model compression techniques are dependent on handcrafted features and require domain experts, with a tradeoff between model size, speed, and accuracy. This study proposes a new approach toward resolving model compression problems. Our approach combines reinforcement-learning-based automated pruning and knowledge distillation to improve the pruning of unimportant network layers and the efficiency of the compression process. We introduce a new state quantity that controls the size of the reward and an attention mechanism that reinforces useful features and attenuates useless features to enhance the effects of other features. The experimental results show that the proposed model is superior to other advanced pruning methods in terms of the computation time and accuracy on CIFAR-100 and ImageNet dataset, where the accuracy is approximately 3% higher than that of similar methods with shorter computation times.