Creation Of Methods Research Articles

Documentary Image Expression in Public Emergencies: A Case Study of Documentary Film "The Front Line"

In recent years, public emergencies represented by the outbreak of Corona Virus Disease 2019 have occurred frequently, and the world is undergoing profound changes unseen in a century . As the most authentic and timely image form, documentary film, which focuses on the documentary expression of public emergencies, plays a competitive, original, powerful, influential and leading role, has been widely concerned and affirmed by the industry and beyond. Taking the documentary film "The Front Line" as an example, combined with the author's personal thinking as the executive chief director of the film, this paper analyzes the film from the perspective of creation, argumentation, narrative means and speech methods, and conducts in-depth thinking and theoretical analysis of the documentary image expression in public emergencies.

Koncepcja ujednolicenia wzajemnie niekompatybilnych modeli informacyjnych oraz danych przechowywanych w relacyjnych bazach danych zarządców dróg

Road Administrations (RAs) implement Building Information Modelling (BIM) through pilot projects developed for new or reconstructed structures. Each model is processed with respect to BIM standards and practices valid at the time of its creation. Consequently, models are incompatible and cannot be interconnected to create a combined model of the managed network or even its selected parts. Existing structures are often not included in the BIM effort until some major repair is planned. In addition, RAs usually store data on fixed and variable parameters of structures in relational databases. This results in a situation in which a relatively small number of structures are included in mutually incompatible models and data regarding the majority of structures is contained in relational databases. It creates a heterogeneous data environment for RAs. The goals of the paper are as follows: to analyse the described problem, to propose a method of model unification models, a method of creation of simplified compatible information models using data on existing structures stored in relational databases and a method of storing data at the level of the managed network, to support RA asset management systems which can be treated as a dynamic part of BIM.

Re-actualization of Traditional Themes in Contemporary Craft Art through the Concept of Hybrid Aesthetics

In the beginning, craft as a category of art was established because of its traditional cultural elements. However, in its development, contemporary craft art features many other styles and elements of art, making it difficult to distinguish craft art from other types of art. To adjust to the development and new characteristics of contemporary craft art, it is necessary to develop new methods in the creation of craft art. One of them is cultural hybridization. This article offers a method of creation by adopting the concept of a hybrid aesthetic. Through this method, artists are invited to experiment with visually re-actualizing traditional cultural elements in the creation of craft works among modern art elements. The main question that needs to be asked is how the hybrid aesthetic method can provide certain strength in reaffirming the definition of craft art according to the development of contemporary art. The adoption or application of the hybrid aesthetic concept in the creation of contemporary craft must still consider traditional elements and the adoption of other elements with the application of new methods of creation. The hybrid aesthetic concept produces a unique genre and has the opportunity to sustain an aura of originality through the re-actualization of traditional elements in a strong visual in the global art scene.

Trauma

TRAUMA is a musical composition work based on the anxiety of the person closest to the composer but has an impact on the composer himself. This music composition work is made with a band format and supported by vocals and strings. The composer wants to use microphones into vocal effects, namely delay and reverb, to create an echoing sound produced from the composer's own voice that interprets the dark atmosphere experienced. TRAUMA is a musical work based on the empirical experience of the person closest to the composer. The composition of Trauma has three parts, namely: The first part that realizes the beginning of the trauma, the second part that realizes how the trauma becomes stronger until he loses his identity, and the third part that interprets how the closest person begins to slowly try to eliminate the trauma, and slowly try to find his identity again. Each section is characterized by a change of tempo. To create the composition Trauma, the composer refers to a method of creation written by SP. Gustami, namely: First, the exploration stage which includes observation, and searching for literature sources. Second, the design stage, which involves making several sketches and technical drawings. The third stage is realization, which is the forming process, followed by assessment and evaluation of the finished work.

Stress-Nets- A Novel LSTM Ensembled Single Feed Forward Layers for Stress Classification with EEG Signals

Mental instability and emotional imbalance of the individual can be reflected in the form of stress which results in an inappropriate work ethics. There are various methods for the Stress creation. Moreover , several bio-signal sources such as Electroencephalograph(EEG), Electrocardiography(ECG) and Electromyography(EMG) are considered to be the important catalyst for developing the stress detection systems(SDS). Recently, machine and deep learning algorithms has gained more popularity in designing the SDS using the bio-signals. Further, EEG based SDS with ML and DL algorithms plays an important role for its high classification accuracy and performance. However, these EEG based SDS systems needs the better lime light of improvisation in terms of performance and computational overhead to deal with multiple datasets. In this context, this manuscript proposes new Long Short term Memory recurrent units(LSTM) for extracting temporal features while enhanced extreme learning machines are employed for better classification with less computational complexity. The different data sources are used to collect the EEG signals in which the collected signals are preprocessed for evaluating the proposed model. Additionally, the experiments are performed by DEAP and Kaggle datasets as well as performance parameters and compared by conventional Fused Support vector machines (F-SVM),BI-Long Short Term Memory(BILSTM), Random Forest(RF) and Deep Convolutional Neural network(DCNN). Results shows which proposed EEG based SDS has better performance than other conventional ones of high accuracy in stress detection and for diagnosing classify the stress-levels .

Kaedah dan Kegunaan dalam Perlaksanaan Integrasi BIM-GIS dan Potensinya dalam Pengurusan Sistem Saliran: Satu Tinjauan

The ability of Geographic Information System (GIS) applications to manage three-dimensional (3D) data is increasing along with advancements in current technology, and this ability can be further enhanced through the integration of Building Information Modeling (BIM) technology. While the combination of BIM and GIS technologies provides significant benefits to human life, there are several challenges and limitations that need to be addressed for successful implementation. Therefore, research on previous articles will be conducted to examine the challenges and potential of this integration. This paper will begin with searching for relevant previous articles using appropriate keywords on Web of Science and Scopus. The search will be conducted in two parts, articles related to BIM-GIS integration with keywords "BIM" AND "GIS," and articles concerning the usage of 3D data in GIS applications for drainage system management using keywords "GIS" AND "3D" AND "DRAINAGE." From these articles, observations will be made regarding (1) the structure of BIM-GIS integration data, (2) implemented integration methods, (3) utilization of integration models, and (4) the potential of BIM-GIS Integration in managing 3D drainage system data. The research identifies key challenges in BIM-GIS integration, including differences in class numbers, dissimilar class arrangement, geometry creation methods, and georeference system application. To address these challenges, standard protocols based on specific requirements need to be established by considering organizational needs to ensure a consistent integration process. The paper also recognizes significant potential in employing BIM-GIS integration for drainage system management.

The Influence of Social Media on traditional Journalism in Uganda. A case study of Capital Radio

This study examines how social media and traditional journalism interact dynamically within the framework of Uganda's Capital Radio. The research uses a case study technique and focuses on how social media affects news creation, audience interaction, and the potential and challenges for maintaining journalistic integrity. Using existing research on social media's impact on news, audience engagement, and journalistic practices, the study explores Capital Radio's maneuvers through this dynamic media environment. The study utilized a descriptive cross-sectional design, which is appropriate when the problem has a clear definition and the researcher needs the respondents to describe specific aspects of the problem. This study focused on 78 important Capital Radio stakeholders, including senior management, specialists in the field of social media's influence on Uganda's traditional journalism, shareholders, customers, and regulatory agencies. Various stakeholders were selected based on their thorough comprehension and insightful opinions of the topic's applicability to the goals of the research. The results are intended to give light on the transformative effects on news creation processes and the larger media ecosystem, as well as to provide insights into the symbiotic interaction between social media and traditional journalism. According to the report, social media has a big impact on Capital Radio's news creation and journalistic methods. It highlights how important it is to reconsider established journalistic procedures and adjust to the changing media environment. The poll underscores the significance of audience involvement in optimizing content generation and augmenting reporting, underscoring the imperative for news establishments to participate actively in audience engagement. Keywords: Social Media, Traditional Journalism, News Production, Audience Engagement, Media, Capital Radio

Introduction to being a creative writer in the introduction to fiction writing course: employing composition studies and the extracurriculum to teach an open-access approach to creative writing

ABSTRACT Despite the individualised, empowering, and political nature of early developments in the instruction of creative writing, once creative writing instruction gained traction in higher education in the U.S., especially at the University of Iowa, teaching creative writing became more about the written product than the writing process. That shift made it so that today, the acceptance of a written artifact identifies one as a writer more than the act of writing itself; therefore, many students are now subject to curriculums that generally define them as writers through the completion of written artifacts and not the process of writing creatively. This article details an alternative curriculum, one informed by discussions on the writing process – including moments of inception and methods of creation – and not just the successful production of a written artifact, the very last (and not always necessary) stage of writing creatively. This project accomplishes this task using a lesser popularised history of creative writing, largely detailed in the histories of writing composition, writings from the extracurriculum, and best teaching and assessment practices in composition studies. Students in my open-access curriculum come away with over 30,000 words of creative writing and writing in reflective practice in a single semester.

Calibration areas in ecological niche and species distribution modelling: Unravelling approaches and concepts

AbstractAimThe calibration area (CA) corresponds to the geographic region used by different algorithms that estimate the species' environmental preferences and delimit its geographic distribution. This study intended to identify, test and compare current literature's most commonly employed approaches and methods for CA creation, highlighting the differences with the accessible area (M), a frequently misapplied concept.LocationGlobal.TaxonArthropods, amphibians, reptiles, birds and mammals.MethodsWe conducted a literature review and analysed 129 recent articles on species distribution that use correlative models to identify the methods used to establish the CA and their frequency. We also evaluated seven of the most widely used methods for 31 species from different taxa.ResultsWe found that the most frequently used methods in literature corresponded to biogeographic entities (BE). Moreover, according to our evaluation, those methods that seek to establish the CA through the accessible area approach (including BE and ‘grinnell’) were the best evaluated. Finally, we highlight the advantages and disadvantages of the analysed methods in selecting CA.Main ConclusionsAlthough we cannot fail to recognize the usefulness and validity of the different methods to establish CAs, we suggest calibrating ecological niche and species distribution models in light of explicit a priori hypotheses regarding the extent of accessible areas (M) as a delimitation of the CA, which theoretically includes the species' dispersal ability and its barriers. We recommend using the BE method, which is simple to establish and highly operational.

Morphological Methods of Noun-Origin Derivatives Creation in Secondary Root Formation in the Modern Standard Arabic Language

The study is devoted to the topic of Arabic generic derivatives formed from nouns аccording to Masdar models of four-letter bases from names of states, organizations, their abbreviations, which is little represented in the academic literature. The authors set a goal to analyze and generalize the features and methods of secondary root formation in the Arabic on the material of the lexical corpus of derivatives grouped by semantic and word-formation identity. The data source was the texts of modern Arabic-language media. Sixty-six lexemes-neologisms with the general semantics of the process or state and formed according to the Masdar models of the fourletter basis were selected by the continuous sampling method. The selected lexemes were examined in asynchronous aspect and were subjected to lexico-morphological analysis. It was concluded that all the studied neologisms were formed on a morphological basis. The leading method is lexical derivation, which can proceed with the participation of word-forming formants, phonetic expanders, gemination of the root element, and without suffixation. All lexical derivatives were formed along the traditional path known and described by historians of the Arabic. The process examined in the article turned out to be analogous to the hypothesis of the formation of three-letter bases based on two root consonants accepted in Arabic studies. This allowed the authors suggest that new fourletter bases appear from existing three-letter roots, which over time can potentially become the base of four-letter roots, which will lead to the expansion of Arabic roots and the formation of new word-formation nests.

HAPOVER: A Haptic Pronunciation Improver Device

This research article describes the HAPOVER (a haptic pronunciation improver device), which was produced to help second language learners' pronunciation skills as part of their foreign language learning process. The device comprises eight independent vibration motors connected to the fingers other than the thumb. The developed tactile feedback device was utilized to enhance pronunciation via speech processing and using vibration motor. The acoustic difference between the reference and the participant's recorded pronunciation signal was calculated with the help of Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) and converted into haptic codes that guide the speaker. The article describes the haptic codes' features and the creation method thereof. The device was tested by psychophysical evaluation. The results indicate an 80.74% improvement in word pronunciation with haptic guidance post training. Therefore, the results corroborate that word pronunciation data can be transmitted via tactile codes. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

Empowering Human Resources Within Training and Education About Musical Art at Pemuteran Village Memberdayakan Sumber Daya Manusia Melalui Pelatihan dan Pendidikan Seni Karawitan di Desa Pemuteran

This article is refered to a policy from government about Merdeka Belajar Kampus Merdeka (MBKM) within program Kuliah Kerja Nyata Tematik (KKNT) implemented at Pemuteran Village, Gerokgak District, Buleleng City. The workplan carried out is training about tabuh telu gegilakan, teaching the basic technique on playing Gong Kebyar, and training about tabuh telu lelambatan kreasi “Wási Silakrama” to childern’s Jelung Kumara Pemuteran Gong Kebyar Group JKP 3 and JKP 4. Especially for JKP 3, I applied creation tabuh telu lelambatan kreasi “Wási Silakrama” and tabuh telu gegilakan. The workplan held with some methods that writer used which is the imitation method came up by M. Gabriel Tarde, meguru panggul, observation, interview, and documentation. Apart from that, I also use the method of creation written by I Wayan Dibia in making the composition. The methods I've used have worked with frequent players in my program of work that I've done. I hope within two groups JKP 3 and JKP 4 is success and capable to come forth some creations which has been given for Sanggar Jelung Kumara anniversary held on July 8 2023. Hopefully this creation is very useful for two groups that will used for another festival, ceremony, etc.

A novel DAG-blockchain structure for trusted routing in secure MANET-IoT environment

Different physical objects can be employed in the modern technological environment to facilitate human activity. In order to connect physical objects with the universe of digital using a variety of networks and communication technologies, an IoT, the cutting edges technological and effective solution, is deployed. Mobile ad hoc networks (MANET) interact with the IoTin smart settings, enhancing its user appeal and boosting its commercial viability. The new system of MANET based IoT and IT-network may be created by integrating wireless sensor and MANET with the Internet of Things. A solution like this increases user mobility while lowering network deployment costs. However, it also raises new, difficult problems in terms of networking considerations. In this, we presented a novel DAG (Directed Acyclic Graph)-Blockchain structure for MANET-IoT security. The network is secured through Multi-Factor PUF (MF-PUF) authentication scheme. With all authorized nodes, the network is segregated into cluster topology. For trusted data transmission, we proposed Jelly Fish Optimization (JFO) algorithm with the consideration of multiple criteria. For deep packet inspection, we proposed a Fully Connected Recurrent Neural Network (FCRNN). Through deep packet inspection, the intrusions are detected and mitigated through blocking system.With help of merged algorithm, the suggested method obtained improved ability in the PDR (Packet Delivery Ratio), production, analysis of time, detection accuracy also security levels. The comparison results clearly indicate that the proposed study outperforms all previous studies in various aspects. Particularly, the suggested methods for cluster creation, data aggregation, routing, encryption, and authentication significantly improve the system of DAG-IDS. Additionally, the planned task exhibits an exceptionally low standard deviation, making the suggested approach highly suitable for a WSN-IoT environment.

Efforts to Reduce Plastic Waste Through Making Environmentally Friendly Shopping Green Bags at the Berkah Balai Baru Waste Bank

The Berkah Balai Baru Waste Bank was established on 20 November 2021. The waste management activity running at this Waste Bank is the waste deposit activity. Another program that has yet to be implemented is empowering waste bank officers and customers to make green bags to reduce plastic waste. Waste bank officers still need to gain the skills to create green bags. This service activity aims to increase people's insight into the dangers of plastic waste for environmental health and improve people's skills in making green bags. The educational methods used are persuasive communication, lectures, and two-way dialogue. During training, the method used is the product creation and practice training method; during activity mentoring, monitoring and evaluation of activities were carried out. This community service activity targets officers and customers of the Berkah Balai Baru waste bank. The results of the community service activities were that after carrying out the pre and post-test and comparing the score results, it was found that there was an increase in participants' knowledge by 29.9%, and there was participant enthusiasm, as shown by the feedback during the discussion session. Waste bank officers have been able to make shopping bags that can be used when shopping and can be a business opportunity for the Berkah Balai Baru Waste Bank. With this activity, waste bank officers have contributed to reducing plastic waste in the environment.

Modeling of deionization of aqueous compounds using electrodialysis process (data collection for enhanced clarity)

ABSTRACT The deionization process is increasingly recognized as a solution to global water shortages. This study aims to investigate the impact of various parameters on the deionization efficiency. Specifically, volume flow rates (F) were tested (1, 2.5, 5, 10, 15, and 20 ml min−1), solute concentrations (C) (200, 500, and 1000 mg l−1), temperatures (T) (50, 60, and 70°C), voltages (V) (10, 20, and 30 V), and pressures (P) (200, 400, and 800 Pa). In another experiment examined F (100, 250, and 500 mol l−1 m2), V (0.1, 0.5, and 1 V), C (100, 200, 300, 400, and 500 moles m3), and time durations (D) (16, 32, 48, 64, 80, and 96 min). These experiments aimed to determine the separation percentage of potassium chloride cations and anions and were based on data extracted from scientific articles. In the subsequent step, the ANFIS model with the FCM network creation method and the error backpropagation training algorithm was employed to evaluate the impact of each cell input on the separation percentage, output flux, and the separation percentage of potassium chloride cations and anions. This evaluation was conducted through 31 and 15 iterations, respectively. Based on the evaluation criteria, it was observed that the volume flow rate as the sole input yielded the highest prediction accuracy for the separation percentage and output flux. Additionally, the FCTVP model results indicated a slight reduction in the error criteria compared to the FCTV, FCT, FC, and single models. Consequently, it can be concluded that the cell pressure factor may play a decisive role, either reducing or increasing the separation process (R2 = 0.93,MBE = −0.3, and RMSE = 6.4), as well as the output flux (R2 = 0.85, MBE = 0.0003, and RMSE = 0.07). Furthermore, the statistical criteria values of the FVCT model for the separation percentage of potassium chloride cations and anions demonstrated a proper correlation (R2 = 0.96 and 0.95), slight underestimation, and low error MBE = −0.57 and −1.2) (RMSE = 15.2 and 18.5, respectively).

A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain

PurposeThe capacity for machine learning (ML) to facilitate radiotherapy (RT) planning for primary brain tumors has not been described. We evaluated ML-assisted RT planning with regards to clinical acceptability, dosimetric outcomes and planning efficiency for adults and children with primary brain tumours. Methods and MaterialsIn this prospective study, children and adults receiving 54 Gy fractionated radiotherapy for a primary brain tumor were enrolled. For each patient, one ML-assisted RT plan was created and compared with one or two plans created using standard (“manual”) planning procedures. Plans were evaluated by the treating oncologist, who was blinded to the method of plan creation. The primary endpoint was the proportion of ML plans that were clinically acceptable for treatment. Secondary endpoints included the frequency with which ML plans were selected as preferable for treatment, and dosimetric differences between ML and manual plans. ResultsA total of 116 manual plans and 61 ML plans were evaluated across 61 patients. Ninety-four percent of ML plans and 93% of manual plans were judged to be clinically acceptable (p = 1.0). Overall, the quality of ML plans were similar to manual plans. ML plans comprised 34.5% of all plans evaluated, and were selected for treatment in 36.1% of cases (p = 0.82). Similar tumor target coverage was achieved between both planning methods. Normal brain (brain minus PTV) received an average of 1 Gy less mean dose with ML plans (as compared to manual plans, p < 0.001). ML plans required an average of 45.8 minutes less time to create, as compared with manual plans (p < 0.001). ConclusionML-assisted automated planning creates high-quality plans for patients with brain tumours, including children. Plans created with ML assistance delivered slightly less dose to normal brain tissues, and can be designed in less time.

AI in education: A review of personalized learning and educational technology

The integration of Artificial Intelligence (AI) in education has ushered in a transformative era, redefining traditional teaching and learning methods. This review explores the multifaceted role of AI in education, with a particular focus on personalized learning and educational technology. The synergy between AI and education promises to address individualized needs, enhance student engagement, and optimize learning outcomes. Personalized learning, enabled by AI algorithms, tailors educational experiences to the unique needs, preferences, and pace of each student. This approach goes beyond a one-size-fits-all model, fostering a more inclusive and effective learning environment. The review delves into the diverse applications of AI-driven personalized learning, ranging from adaptive content delivery and real-time feedback to intelligent tutoring systems. It analyzes the impact of these technologies on student performance, highlighting the potential to narrow educational gaps and cater to diverse learning styles. Educational technology, powered by AI, extends beyond the classroom, encompassing online platforms, virtual reality, and interactive tools. The review explores the integration of AI in curriculum development, content creation, and assessment methods, offering insights into how these technologies augment the teaching and learning experience. Furthermore, the review examines the role of AI in automating administrative tasks, allowing educators to redirect their focus towards personalized instruction. Challenges and ethical considerations associated with the adoption of AI in education are also scrutinized. Privacy concerns, algorithmic biases, and the digital divide are discussed, emphasizing the importance of responsible AI implementation. The review underscores the need for collaborative efforts among educators, policymakers, and technologists to establish ethical guidelines and ensure the equitable distribution of AI-enhanced educational resources. This review provides a comprehensive examination of the evolving landscape of AI in education, with a spotlight on personalized learning and educational technology. As the symbiosis between AI and education continues to evolve, this synthesis of current research and trends aims to guide future developments, fostering an informed and progressive approach to the integration of AI in the educational sphere.

Liepājas Centrālās zinātniskās bibliotēkas Vecbibliotēkas fonda 17.–19. gadsimta franču valodas vārdnīcas

From the 17th century onwards, the French language dominated international communication and the exchange of current information within educated Europe, strengthening its position in the 18th century with the spread of Enlightenment ideas. The importance of French literature of this period can also be seen by observing the shelves of libraries. In the range of resources offered by the reading library of the city of Liepāja, founded in 1777, books in French occupy second place (second only to books in German, which was the dominant language of the educated part of society at the time studied) according to their number, including those intended for language learning: grammars, reading books, phrasebooks, and other dictionaries. The article studies and analyses the range of 17th–19th centuries monolingual French dictionaries, bilingual and multilingual dictionaries with a French section from the collection of the Liepāja library, a total of 20 units. The research area chronologically covers the period from the oldest dictionary, published in 1674, to the last dictionary, published in 1847. In the context of the study, the status and place of the French language in international circulation and on the local scale of Courland are discussed to study what the mentioned dictionaries say about the social and cultural space of Liepāja. The research does not belong to the field of lexicography, as it does not offer an analysis of dictionary creation methods; it focuses on social and cultural practices possibly linked to the use of dictionaries and uses research methods of intellectual history and cultural transfer. The research results reflect the development trends of language use in Liepāja and provide insight into the interaction of the French language with other languages. Monolingual dictionaries, French sections of bilingual and multilingual dictionaries integrate specific elite cultural knowledge and emphasise accuracy of expression. Travellers’ dictionaries show the importance of mobility and communication with European French-speaking elites, but the dynamic rhythm of Liepāja, a port city, is illustrated by dictionaries for businessmen and sailors, in which the French language is not predominant, but is only one of the possible means of communication.

Kelelawar Sebagai Ide Dalam Penciptaan Karya Seni Lukis Surealis

The aim of creating this final work is to visualize self-reflection by using it as an idea in creating a work of surrealist painting. As well as as a means to deepen the concepts and techniques of painting work. The creation of this final work applies a creation method that is carried out in stages. Starting from the preparation stage, elaboration stage, synthesis stage, concept realization stage, and completion stage. Based on the method that has been carried out, ten work titles were obtained, namely: "Transformation and Regeneration", "Like Time, Wings", "Balance", "Explorer", "Adaptation", "Wading Bats", "Peering Behind the Wings”,“Break through”, “Sleep”.&#x0D;

Key programmatic and policy considerations for introducing multipurpose prevention (MPT) methods: reflections from healthcare providers and key stakeholders in South Africa.

Multipurpose prevention technologies (MPTs) simultaneously prevent HIV, other sexually transmitted infections, and/or unintended pregnancy. Key gatekeepers, [healthcare providers (HCPs) and key stakeholders] require proactive engagement before product implementation. This manuscript identifies HCP demand creation strategies, key stakeholder considerations for the adoption of MPTs in South Africa. Formative research was conducted in three districts in three South African provinces (July to November 2022). Nurses initiating oral PrEP at facility and mobile study sites participated in 4-hour participatory workshops, exploring HIV prevention, including MPTs, demand creation strategies, and preferred MPTs training packages. Activities were observed, transcribed, and thematically analysed. Five online in-depth interviews (IDIs) with Key informants (KIs) (National/district programme implementers and technical leads) and one in person, exploring key programmatic and policy considerations for MPT adoption. IDIs were approximately 40 min long, audio recorded, transcribed, and thematically analysed. Twenty-one Professional Nurses completed workshops: 19 female. Six IDIs were conducted with 4 Facility Managers, 1 NDoH representative and 1 DoH Provincial Deputy Director. All participants were females, aged 30-60+ years with >10 years' in SRH/HIV policy/advocacy/research. Community conversations and information at the clinic were the best MPT demand creation methods among HCPs. KIs identified five considerations for future MPT implementation: HCP training; demand creation and messaging; existing PrEP policy amendments; preparing users for additional choice; and sustaining MPT provision. Contraceptive implant and oral PrEP implementation lessons learned should be proactively considered when preparing for MPT introduction. HCP training and demand creation are of particular importance before MPT introduction.