Difficulties In Implementation Research Articles

Challenges in the Implementation of Curriculum Based on the Indonesian National Qualification Framework

This study was intended to find out the challenges faced by lecturers and students in the implementation of the Indonesian National Qualification Framework Curriculum (INQF) in the English Education Department of IAIN Parepare in three aspects: learning plan, learning process standard, and learning evaluation standard. The questionnaire data were analyzed using the Rasch model to know the item difficulty of curriculum implementation indicators. The data were elaborated through interviews, FGD, and documentation. The study showed that in the learning process aspect, lecturers perceived some items of interactive, holistic, and collaborative indicators were difficult to implement. In addition, in the learning plan, they perceived that compiling lesson plan was easy to implement. They also found no difficulties in implementing the learning process standard indicators such as scientific, effective, and student-centered. Likewise, they found no problems in implementing the learning assessment standard, especially in the techniques and procedures of assessment indicators. Students also perceived some indicators item of the learning process standard were difficult to implement such as holistic, collaborative, contextual, and thematic. In addition, they perceive the assessment procedures indicators items of the learning evaluation standard were not implemented by lecturers. These data suggested that lecturers did not implement these indicators items in the classroom. The research also showed the causes of the difficulties of curriculum implementation: student factors, lecturer factors, and institutional factors.

Counseling lifestyle medicine in oncology: A qualitative analysis of interprofessional patient-nurse-physician interactions

ObjectivesCounseling plays a key role in promoting health behaviors, providing evidence-based information, and supporting patients with cancer during and after treatment. This study aimed to evaluate an interprofessional counseling service on Complementary and Integrative Health (CIH) for patients being treated at Comprehensive Cancer Centers (CCCs) in Southern Germany. MethodsPatients participating in the CCC-Integrativ study received three CIH counseling sessions within three months in addition to their conventional cancer treatment. Medical and nursing staff participated in a study-specific blended learning training program before conducting the counseling. As part of the process evaluation, 30 audio-recorded counseling sessions were transcribed verbatim and analyzed by conducting a content analysis using MAXQDA 2020. ResultsThroughout the counseling, patients were conceded to address various health issues, which mainly revolved around symptom management interlaced with the areas of nutrition, exercise, and relaxation. The interprofessional teams conducted the counseling in a structured and patient-oriented manner. They worked together to motivate the patients to apply procedures from the CIH field independently, even if patients sometimes experienced difficulties in implementation. ConclusionsInterprofessional collaboration improved healthcare quality, as patients received comprehensive and evidence-based advice on their supportive needs and lifestyle issues. Both professions could equally contribute their areas of knowledge and expertise and apply them to the benefit of the patients. Practice implicationsProviding an integrative counseling service and adequate training on interpersonal communication and CIH for healthcare professionals will improve patient-centered care.

Understanding the experiences of ketogenic metabolic therapy for people living with varying levels of depressive symptoms: a thematic analysis.

Evidence suggests that a ketogenic diet (KD) may help to alleviate psychiatric symptoms, including depression and anxiety. Positive changes have been reported such as improvements in cognition, concentration, and sleep, a reduction in hunger, and an increase in well-being, energy, confidence, and resilience. This research aims to understand the impact of a non-calorie-restricted KD on depression and aspects of psychological well-being in those with varying degrees of depressive symptoms. Though there are a few studies directly exploring the experiences of those following a KD, this will be the first study to explore the narrative from a mental health and psychological well-being viewpoint. A sample of nine participants who had followed a non-calorie restricted KD intervention of 50 g of carbohydrates or less per day for at least 12 weeks were recruited. Participants were split into 'healthy adults' group who had no to low depressive symptoms and 'depressive symptoms' group who had mild to moderate depressive symptoms. A reflexive thematic analysis was considered suitable for this study. Five core themes and 24 subthemes were created. These were, (1) Poor health prior to program; (2) Hunger and cravings-the food and mood connection; (3) Psychological well-being improvements; (4) It becomes a lifestyle; and (5) Implementation difficulties. Participants experienced mental health improvements such as increased self-esteem, confidence, motivation, and achievement. Some experienced more control in life and a greater sense of reward. Those with depressive symptoms who initially reported low self-worth and hopelessness later reported increased self-esteem and renewed meaning and purpose in life. The findings from this study reflect the previous reports that the diet implementation can be difficult initially, but soon becomes easy to follow and turns into a lifestyle. In the literature, there are very few qualitative studies that explore the accounts and lived experiences of those following a KD. From the participants' accounts in this study, it appears that the benefits and positive outcomes of this diet outweigh any negative side-effects experienced. This is encouraging for those who are looking for adjunctive therapies to address and improve their depressive symptoms and overall mental health.

Edge Computing and its Role in IoT: Analyze how Edge Computing is Transforming IoT by Processing Data at the Edge of the Network, Reducing Latency and Enhancing Data Security

An age of technological revolution has begun as a result of the Internet of Things (IoT) explosive growth, in which billions of gadgets gather and exchange data over several networks. The conventional cloud- centric approach of data processing faces substantial hurdles as Internet of Things (IoT) devices become more sophisticated and data-intensive. These challenges include high latency, bandwidth limits, and privacy concerns. By decentralizing data processing and moving it closer to the data source—the network's edge—edge computing emerges as a crucial solution. This study examines how edge computing is revolutionizing the Internet of Things by examining three of its main benefits: lower latency, better data security, and increased bandwidth economy. Edge computing expedites response times, strengthens data security, and maximizes network use by processing data locally. The fundamentals of edge computing, implementation difficulties, and prospective advancements that might further integrate edge computing with sophisticated IoT systems are all covered in the talk. In addition to changing IoT environments, this investigation seeks to demonstrate how edge computing is essential to real- time, safe, and effective data processing in an increasingly interconnected world.

Implementation of a Web-Based Outpatient Asynchronous Consultation Service: Mixed Methods Study.

Asynchronous outpatient patient-to-provider communication is expanding in UK health care, requiring evaluation. During the pandemic, Aberdeen Royal Infirmary in Scotland expanded its outpatient asynchronous consultation service from dermatology (deployed in May 2020) to gastroenterology and pain management clinics. We conducted a mixed methods study using staff, patient, and public perspectives and National Health Service (NHS) numerical data to obtain a rounded picture of innovation as it happened. Focus groups (3 web-based and 1 face-to-face; n=22) assessed public readiness for this service, and 14 interviews with staff focused on service design and delivery. The service's effects were examined using NHS Grampian service use data, a patient satisfaction survey (n=66), and 6 follow-up patient interviews. Survey responses were descriptively analyzed. Demographics, acceptability, nonattendance rates, and appointment outcomes of users were compared across levels of area deprivation in which they live and medical specialties. Interviews and focus groups underwent theory-informed thematic analysis. Staff anticipated a simple technical system transfer from dermatology to other receptive medical specialties, but despite a favorable setting and organizational assistance, it was complicated. Key implementation difficulties included pandemic-induced technical integration delays, misalignment with existing administrative processes, and discontinuity in project management. The pain management clinic began asynchronous consultations (digital appointments) in December 2021, followed by the gastroenterology clinic in February 2022. Staff quickly learned how to explain and use this service. It was thought to function better for pain management as it fitted preexisting practices. From May to September 2022, the dermatology (adult and pediatric), gastroenterology, and pain management clinics offered 1709 appointments to a range of patients (n=1417). Digital appointments reduced travel by an estimated 44,712 miles (~71,956.81 km) compared to the face-to-face mode. The deprivation profile of people who chose to use this service closely mirrored that of NHS Grampian's population overall. There was no evidence that deprivation impacted whether digital appointment users subsequently received treatment. Only 18% (12/66) of survey respondents were unhappy or very unhappy with being offered a digital appointment. The benefits mentioned included better access, convenience, decreased travel and waiting time, information sharing, and clinical flexibility. Overall, patients, the public, and staff recognized its potential as an NHS service but highlighted informed choice and flexibility. Better communication-including the use of the term assessment instead of appointment-may increase patient acceptance. Asynchronous pain management and gastroenterology consultations are viable and acceptable. Implementing this service is easiest when existing administrative processes face minimal disruption, although continuous support is needed. This study can inform practical strategies for supporting staff in adopting asynchronous consultations (eg, preparing for nonlinearity and addressing task issues). Patients need clear explanations and access to technical support, along with varied consultation options, to ensure digital inclusion.

Continue nursing education: an action research study on the implementation of a nursing training program using the Holton Learning Transfer System Inventory

ObjectiveTo address the gap in effective nursing training for quality management, this study aims to implement and assess a nursing training program based on the Holton Learning Transfer System Inventory, utilizing action research to enhance the practicality and effectiveness of training outcomes.MethodsThe study involved the formation of a dedicated training team, with program development informed by an extensive situation analysis and literature review. Key focus areas included motivation to transfer, learning environment, and transfer design. The program was implemented in a structured four-step process: plan, action, observation, reflection.ResultsOver a 11-month period, 22 nurses completed 14 h of theoretical training and 18 h of practical training with a 100% attendance rate and 97.75% satisfaction rate. The nursing team successfully led and completed 22 quality improvement projects, attaining a practical level of application. Quality management implementation difficulties, literature review, current situation analysis, cause analysis, formulation of plans, implementation plans, and report writing showed significant improvement and statistical significance after training.ConclusionThe study confirms the efficacy of action research guided by Holton’s model in significantly enhancing the capabilities of nursing staff in executing quality improvement projects, thereby improving the overall quality of nursing training. Future research should focus on refining the training program through long-term observation, developing a multidimensional evaluation index system, exploring training experiences qualitatively, and investigating the personality characteristics of nurses to enhance training transfer effects.

Consumer Behaviour Analysis for AI Services in the Tourism Industry

Amidst the integration of Artificial Intelligence (AI) and robotics, this study investigates consumer behaviour with a specific emphasis on the determinants that impact the adoption and purchase of AI tourism applications by tourists, thereby augmenting their perceived value. The study aims to identify the factors that impact tourists’ inclination to adopt and buy AI tourism applications, with a focus on enhancing perceived value. Using data collected from a survey of 301 visitors of different nationalities visiting Greece, this study conducts structural equation modelling to assess the relationship between technology adoption and certain factors influencing customers’ perceived value in the tourism sector, considering the Value Adoption Model (VAM). Findings indicate that suggested modifications in the VAM demonstrate that factors including Happiness, Perceived Immersion, Trust and Effort are relevant to the successful acceptance concept of paying for using AI tourism apps. The most likely outcome is the mediating role of Perceived Value in willingness to accept and pay for AI tourism apps. The study recontextualizes the VAM theory by analyzing the acceptance of AI apps in tourism and hospitality sector research. The findings are valuable to hotel directors, ICT developers, and researchers studying the difficulties of technology adoption and implementation of service management in the hospitality industry.

Identificication of Implementation Difficulties on Online Learning During The Covid-19 Pandemic To Pre-Service Chemistry Teacher

This study aims to describe the difficulties of implementation online learning during the covid-19 pandemic to students of Chemistry Education Program at Mataram of University. This type of research is descriptive research with a qualitative approach. The population of this study is 229 students of the Chemistry Education Program at Mataram of University in semester II, IV and VI. The samples were questionnaires and interviews. The result showed that; 1) Learning difficulties in subject considered difficult by students of the Chemistry Education Program at the University of Mataram in the implementation of online learning during the covid-19 pandemic were organic chemistry courses with a percentage of 45%; 2) The highest difficulties faced by students in the implementation of online learning during the covid-19 pandemic were caused by aspect of the student’s socioeconomic conditions with a percentage of 84% in the very high category; 3) The lowest the covid-19 pandemic were organic chemistry courses with a percentage of 45%; 2) The highest difficulties faced by students in the implementation of online learning during the covid-19 pandemic were caused by aspect of the student’s social economic interaction with a percentage of 64% in the high category.

An empirical examination of liability for ecological environment restoration in the context of the Civil Code of China

In environmental tort lawsuits, China has been overly focused on “punishing” violators and has neglected the value of ecological environment restoration. The Article 1234 of Civil Code of China in 2021 has provided an important institutional guideline for the restoration of ecological environment and sustainable development in China. This paper analyzes 512 cases of ecological environment restoration liability and identifies five challenges in the judicial context: the lack of sound legal regulation, the lack of liability allocation, the mismatch of liability subjects, the difficulty of identifying damage facts, and the difficulty of effective implementation of restoration. In the face of these difficulties, countries that attach importance to ecological environment restoration, such as the United States, Germany and Japan, have provided experience that can be drawn on for China's ecological environment restoration liability. Based on foreign experience, China's liability for ecological environment restoration should be improved in the following aspects: first, to improve the legal system from basic laws and specific laws; second, to expand the scope of subjects from both litigation request subjects and liability subjects; third, to improve the identification and assessment mechanism and innovate the identification and assessment procedures in accordance with China's national conditions; fourth, to determine the restoration methods based on the criterion of “utilization value and the differences in the objects. The ultimate goal is to help China's Civil Code to be better applied judicially on the one hand, and to contribute to the world ecological protection on the other.

Capturing urban green view with mobile crowd sensing

Urban green spaces are beneficial to ecosystems and the health of people. The Green View Index (GVI) is an essential metric for assessing urban green spaces from a human perspective. However, measuring GVI at an urban scale requires extensive collection and processing of sensing data, posing challenges in terms of high resource consumption, difficulty in implementation, and lack of user participation. Mobile crowd Sensing (MCS) is an emerging large-scale, low-cost solution for sensing data collection. To address the aforementioned issues, this study proposes an MCS system called GreenCam to measure the GVI with smartphone sensors. GreenCam guides users to capture photos of urban green spaces from human perspective. The system employs a Transformer-based model, which is trained on a customized dataset of 1200 carefully-labeled urban green images, to extract the greenery from the captured photos and calculate GVI. With widespread participation from urban users, the photos captured by users with GreenCam can cover various streets and areas of the city, enabling the measurement of GVI at an urban scale. Additionally, these photos reflect people's preferences towards specific urban landscapes, and analyzing the distribution and characteristics of popular landscapes contributes to the enhancement of urban ecosystems and landscapes.

Dynamic Playlist Generation using Machine Learning

This study investigates the application of machine learning algorithms for dynamic playlist generation in the context of music recommendation systems. The traditional method of creating playlists frequently depends on immutable standards, like artist or genre, which might not adequately represent the unique and dynamic character of personal preferences. On the other hand, our suggested system makes use of machine learning methods to examine user behavior, preferences, and contextual elements in order to create playlists that are dynamically created and customized to each user’s individual preferences. In order to train machine learning models, the study collects user interaction data, such as listening history, skip patterns, and user feedback. To extract patterns and relationships from the data, a variety of algorithms are used, including hybrid models, content-based filtering, and collaborative filtering. After that, the models are incorporated into a dynamic playlist creation system that can eventually adjust to changing user preferences.Our test findings show how well the suggested strategy works to improve user experience by offering more interesting and customized playlists. With its ability to adjust to changing user preferences and contextual cues, the dynamic playlist generation system provides a smooth and pleasurable music discovery experience. We also talk about possible enhancements, implementation difficulties, and deployment considerations in the real world.This work adds to the ongoing efforts to improve music recommendation systems by demonstrating how machine learning can be used to develop more responsive and intelligent playlist generation systems. The results highlight how crucial customized experiences are in the constantly changing world of digital music consumption. Index Terms—hybrid mode, content-based filtering, intelligent playlist, music

Estimation of wind load on supertall buildings using partial output measurements

Supertall buildings possess distinctive characteristics such as high flexibility, low damping, and susceptibility to wind. The impact of the wind load and wind-induced responses plays a critical role in ensuring the safety and functionality of these structures. Consequently, investigating the wind load and wind-induced responses of supertall buildings has immense practical significance and engineering value to guarantee the secure operation of such buildings under strong wind conditions. However, the direct measurement of wind loads and wind-induced responses across all building floors presents substantial challenges, including considerable engineering workload and implementation difficulties. This study proposes a novel approach based on Kalman filtering to estimate wind loads and wind-induced responses in supertall buildings. This approach involves fusing partial acceleration and displacement measurements to estimate wind load and wind-induced response accurately. Additionally, optimized sensor placement was considered based on the iterative process of the effective independence method. Wind-induced responses were obtained through numerical testing and subsequently utilized to estimate the wind loads on a supertall building. Various factors, such as measurement noise, modeling errors of structural dynamic properties, sensor placement, and response synchronization, were thoroughly discussed to assess their impact on the overall analysis.

An Exploratory Study for Performance Improvement through Supplier Client Services Framework

This research is aimed to study on supplier relationship management particularly on service procurement of the oil and gas industry in Malaysia. Volatile oil price and COVID-19 pandemic required oil and gas companies to re-evaluate their supply chain strategies to minimise the impact. One of the strategies was to build better relationships with suppliers. Based on literature, services procurement is much more complex than goods procurement. The literature reviewed the topic of the oil and gas industry, outsourcing and subcontracting and supplier relationship management. In details, different elements of supplier relationship management are discussed such as its model, benefits, influencing factors and types of suppliers and relationships were discussed. From the literature review, a conceptual framework was developed. “Case study” is adopted as the research method as it provides sophisticated insight on the research topic. Four companies were interviewed to understand the supplier relationship management process. The research findings show that there are different supplier relationship management processes adopted by the four companies selected for case study. All companies agreed that they gained benefits with better supplier relationships. However, all the companies are facing difficulties in implementation of supplier relationship management. In addition, the interviewees expect their suppliers to be more competent in terms of cost, time and quality to contribute to a better buyer-supplier relationship. The conceptual framework is revised based on the research findings and presented as one of the findings.

Analysis on different materials for enhancing axial compression capacity of reinforced concrete

Analysis on different materials for enhancing axial compression capacity of reinforced concrete

Smart city Infrastructure for Sustainable Urban Logistics

The necessity for smart city infrastructure to enable sustainable urban logistics has been brought to light by the global trend of urbanization and the rising demand for cost-effective and environmentally friendly logistics solutions. The main elements, enabling technologies, and implementation difficulties related to creating smart city infrastructure for urban logistics are allthoroughly reviewed in this study. Cities are finding it more difficult to manage the logistics of providing products and services to citizens and companies in a sustainable and effective way as urban populations continue to rise. Conventional urban logistics models are frequently in effective because they depend on disjointed systems and exacerbate problems like air pollution, traffic jams, and greenhouse gas emissions. On the other hand, new chances to improve urbanlogistics and make it more sustainable are presented by the rise of smart city technologies. This study looks at how more sustainable urban logistics can be made possible by smart city infrastructure. Intelligent transportation systems, automated delivery systems, real-time data analytics, and integrated multimodal networks are important parts. Cities may increase vehicle usage, streamline delivery routes, and transition to green reforms of transportation like electric cars by utilizing these technologies. Overall, this research shows how smart city infrastructuremay play a key role in facilitating sustainable urban logistics, enabling cities to minimize the negative effects of goods movement while simultaneously meeting the changing needs of businesses and citizens. Creating integrated, data-driven logistics systems will be crucial to creating more livable, sustainable urban environments as cities continue to grow.

Biomimetic immobilization of α-glucosidase inspired by antibody-antigen specific recognition for catalytic preparation of 4-methylumbelliferone

Immobilization technology plays an important role in enhancing enzyme stability and environmental adaptability. Despite its rapid development, this technology still encounters many challenges such as enzyme leakage, difficulties in large-scale implementation, and limited reusability. Drawing inspiration from natural paired molecules, this study aimed to establish a method for immobilized α-glucosidase using artificial antibody-antigen interaction. The proposed method consists of three main parts: synthesis of artificial antibodies, synthesis of artificial antigens, and assembly of the artificial antibody-antigen complex. The critical step in this method involves selecting a pair of structurally similar compounds: catechol as a template for preparing artificial antibodies and protocatechualdehyde for modifying the enzyme to create the artificial antigens. By utilizing the same functional groups in these compounds, specific recognition of the antigen by the artificial antibody can be achieved, thereby immobilizing the enzymes. The results demonstrated that the immobilization amount, specific activity, and enzyme activity of the immobilized α-glucosidase were 25.09 ± 0.10 mg/g, 5.71 ± 0.17 U/mgprotein and 143.25 ± 1.71 U/gcarrier, respectively. The immobilized α-glucosidase not only exhibited excellent reusability but also demonstrated remarkable performance in catalyzing the hydrolysis of 4-methylumbelliferyl-α-D-glucopyranoside.

Implementing the technology shift from 2D to 3D: insights and suggestions for umpire educators

Effective methods to improve decision-making in sports officiating, particularly with the current and ongoing issues with in-person training, means new remote training methods must be developed. Traditional training of officials occurs primarily as “in-person coaching” at matches, with supporting training manuals and 2D broadcast analysis. However, live matches present difficulties in implementation, while manuals and 2D broadcast videos may not sufficiently ensure learning transfers to real situations. Due to its ease of use, first-person perspective, and ability to analyze live and post-event remotely, 360° virtual reality video technology (360° VR) offers an alternative technological solution for developing decision-making accuracy for sports officials across multiple sports. This study sought to assess the ecological validity (EV) of using 360° VR technology to enable remote teaching of decision-making. Decision-making quality and accuracy in softball umpires were similar when using 360° VR and the traditional method (2D broadcast footage), but 360° VR received significantly higher EV values than the 2D broadcast videos. In addition, interviewed participants expressed excitement about using 360° VR to augment traditional umpiring manuals and rulebooks. The results show that 360° VR has the potential to enhance or replace traditional remote learning methods for decision-making in softball umpires and allow softball learning to reach a much wider umpire audience.

Adoption of Management Tools by Farmers in the Context of Agricultural Extension and Advisory Services in Menoua Division, West Cameroon

Aims: This study aims to analyze the challenges under the adoption of management tools provided by the Programme for the Consolidation and Sustainability of Agro-pastoral Counselling (PCP-ACEFA) to farmers in the Menoua Division.
 Methodology: 60 farmers were surveyed using a stratified random sampling technic and 5 advisors were interviewed. The data were processed and analyzed with Excel 2013 and SPSS software version 20.
 Results: Results shows that a variety of management tools are available to farmers in the Menoua division. The calculation of gross margin (utilization rate 62.96%), Balance sheet (utilization rate 60%) are the most widely used, especially for farms generating large financial flows. Concerning the factors influencing the adoption of management tools, the study revealed several categories: social, economic and institutional. Social factors, for example with the level of education, show that those who adopt the most (50%) have at least secondary education. Furthermore, with the help of the advisors, farmers who adopted these tools have been experiencing changes in their activities as they can now evaluate their activities to know their economic performances which will further permit them to make better decisions. The study also shows that farmers faced difficulties in adopting the use of management tools and it is mostly (33, 33%) due to a lack of finance to expand their exploitation and Implementation difficulties (20.8%). Concerning strategies for a better adoption of tools, farmers mostly propose that the program help increasing their farm size by financing their activities and simplification of tools to the least level that everyone can use.
 Conclusion: The recommendations formulated at the end of this study are to increase farmers' awareness and training in the use of management tools to guarantee good yields on their farms.

On the Implementation Difficulties of Assessing Course Objective Attainment based on Outcome-Based Education

This paper investigates the difficulties in implementing assessment of course objective attainment. Through a questionnaire survey, it was found that teachers face practical difficulties in five aspects: understanding of the concept of Outcome-Based Education (OBE), setting course objectives, designing assessment components, calculating achievement status, and providing feedback and improvement. The paper analyzes the reasons for these difficulties and puts forward measures to overcome them.

Effects of three prophylactic interventions on French middle-schoolers’ mental health: protocol for a randomized controlled trial

Adolescence is a strategic developmental stage in terms of preventing later difficulties and ensuring good mental health. Prophylactic interventions, which are conducted before the onset, prolongation, or worsening of difficulties, and aim to prevent or reduce symptoms or to promote wellbeing, therefore appear particularly appropriate for adolescents. However, existing prophylactic interventions conducted with adolescents have several weaknesses, including sparse theoretical frameworks, ambivalent evidence of their efficacy, and implementation and dissemination difficulties. In addition, no data are currently available on the effectiveness of such interventions in France. To fill this gap, a four-arm randomized controlled trial will be performed to assess the effectiveness of three prophylactic interventions targeting reactive, proactive and interpersonal adaptation in fourth-grade middle-school students, together with participants’ experience and perception of the interventions. Based on existing knowledge about adolescents, their learning mechanisms, and field constraints, these three interventions have been designed to promote their learning and receptiveness to interventions. Compared with baseline (i.e., before the intervention), we expect to observe a significant decrease in the level of distress (anxiety and depressive symptoms, functional impairment, and psychosocial difficulties) and a significant increase in the level of wellbeing after the intervention, across the three intervention groups, but not in the control group. In addition, we expect to observe post-intervention improvements in the processes targeted by the reactive adaptation intervention (operationalized as coping strategy use and flexibility), those targeted by the proactive adaptation intervention (operationalized as the tendency to engage in committed actions and general self-efficacy), and those targeted by the interpersonal adaptation intervention (operationalized as assertiveness in interactions), but only in the corresponding groups, with no change in any of these processes in the control group. The results of this research will not only enrich our knowledge of the processes involved in adolescents’ distress and wellbeing, but also provide clues as to the best targets for intervention. Moreover, the material for these interventions will be freely available in French on request to the corresponding author, providing access to innovative and fully assessed interventions aimed at promoting adolescents’ mental health in France.This clinical trial is currently being registered under no. 2023-A01973-42 on https://ansm.sante.fr/. This is the first version of the protocol.