Globally, small- and medium-sized enterprises (SMEs) play a key role in driving sustainable economic growth in both developed and developing countries. The main objective of this study was to investigate the firm and entrepreneur characteristics influencing the growth of SMEs in Côte d’Ivoire, with special insight into why this country has been a middle-income economy for decades despite its numerous economicpotentialities. Through IBM SPSS version 22.0, 19 hypotheses were tested using data from 160 SMEs operating in Côte d’Ivoire. The results from chi-square tests revealed an association between each of the ‘firm and entrepreneur characteristics’ and at least one of the three growth measurements. However, it was found thatkey factors such as ‘entrepreneur’s ‘age’, ‘work experience’ and ‘level of education’ do not play a role in SMEs’ sustainable growth in Côte d’Ivoire. Results from the binomial logistic regression confirmed that ‘ability to avoid reporting loss’ can be predicted based on ‘entrepreneur’s work experience’, ‘business sector’ and ‘source of funding’. Although this study has practical significance in the business sphere, its results may be of particular help to governments and policymakers in middle-income economies like Côte d’Ivoire for policy formulation and development of frameworks to enhance SMEs’ sustainable growth.

The ever-increasing visitation in parks and protected areas continues to present a considerable challenge for worldwide land managers with allowing recreational use while preserving natural conditions. In China, the fast expanding visitation in protected areas is quickly damaging the natural resources and precious culture without effective visitor education, while regulation and site management are also gaining very limited efficacy. We propose a differential equation to describe the ecological tourism system. Shown by the theoretical proof and numerical simulation, the ecological tourism system is unstable without any perturbed factors, especially visitor educational intervention, because the solution of the dynamic system explodes in a finite time given any initial value. Supposing that the intrinsic increasing rate of stakeholders in the systems stochastically perturbed by the visitor educational intervention, we discover that the stochastic dynamic model can effectively suppress the explosion of the solution. As such, we demonstrate that the tourism system can develop steadily and safely even under a large amount of visitors in public vacation, when employing continuous visitor education intervention programmes.

Speech is critical for interpersonal communication, but not everyone has fluent communication skills. Speech disfluency, including stuttering and interruptions, affects not only emotional expression but also clarity of expression for people who stutter. Existing methods for detecting speech disfluency rely heavily on annotated data, which can be costly. Additionally, these methods have not considered the issue of variable-length disfluent speech, which limits the scalability of detection methods. To address these limitations, this paper proposes an automated method for detecting speech disfluency that can improve communication skills for individuals and assist therapists in tracking the progress of stuttering patients. The proposed method focuses on detecting four types of disfluency features using single-task detection and utilizes embeddings from the pre-trained wav2vec2.0 model, as well as convolutional neural network (CNN) and Transformer models for feature extraction. The model’s scalability is improved by considering the issue of variable-length disfluent speech and modifying the model based on the entropy invariance of attention mechanisms. The proposed automated method for detecting speech disfluency has the potential to assist individuals in overcoming speech disfluency, improve their communication skills, and aid therapists in tracking the progress of stuttering patients. Additionally, the model’s scalability across languages and lengths enhances its practical applicability. The experiments demonstrate that the model outperforms baseline models in both English and Chinese datasets, proving its universality and scalability in real-world applications.

Based on linear motor and hydraulic hybrid energy reclaiming suspension, control strategy for multi-mode switched active suspension is designed. By establishing a quarter vehicle suspension system model, a fuzzy sliding mode controller is designed to control the active suspension system, and design active suspension mode switching strategy to select and switch suspension modes of vehicles under different conditions, it improves the performance of active suspension as well as the feed-ability of the suspension. The accuracy of the model and control strategy is verified by simulation, at the same time, a quarter suspension bench is built for test. The test results show the effectiveness of the simulation. The energy-feed test shows that the energy-feed efficiency of the designed energy reclaiming suspension can reach 17.54%.