Difficulties In Implementation Research Articles

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

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.

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.

A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology.

Multi-omics data play a crucial role in precision medicine, mainly to understand the diverse biological interaction between different omics. Machine learning approaches have been extensively employed in this context over the years. This review aims to comprehensively summarize and categorize these advancements, focusing on the integration of multi-omics data, which includes genomics, transcriptomics, proteomics and metabolomics, alongside clinical data. We discuss various machine learning techniques and computational methodologies used for integrating distinct omics datasets and provide valuable insights into their application. The review emphasizes both the challenges and opportunities present in multi-omics data integration, precision medicine and patient stratification, offering practical recommendations for method selection in various scenarios. Recent advances in deep learning and network-based approaches are also explored, highlighting their potential to harmonize diverse biological information layers. Additionally, we present a roadmap for the integration of multi-omics data in precision oncology, outlining the advantages, challenges and implementation difficulties. Hence this review offers a thorough overview of current literature, providing researchers with insights into machine learning techniques for patient stratification, particularly in precision oncology. Contact: anirban@klyuniv.ac.in.

The Application of the Principle of Common but Differentiated Responsibilities in Environmental Governance on the High Seas

Abstract As an important principle of international environmental law, the principle of common but differentiated responsibilities (the CBDR principle) is being applied to various international environment protection regimes including environmental governance on the high seas as an important guiding principle in the law of the sea. This may be beneficial for engaging the international community to protect the high seas in solidarity. However, the application of the CBDR principle encounters difficulties, which include obstacles regarding cross-sector application, different understandings of the CBDR principle and difficulties in implementation of international instruments. This article argues that the differentiation should not depend exclusively on the traditional dichotomy of developing and developed countries but must be determined on a fluid and case-by-case basis. This suggests that the details of the differentiated responsibilities should also be context-specific rather than uniform for all States. Moreover, the implementation of the CBDR principle to address environmental problems on the high seas should be based on substantive fairness. Finally, this article makes several observations. First, the demands of developing countries in the field of maritime emission reduction should be considered. Second, obligation of capacity building and the transfer of marine technology prescribed in the BBNJ Agreement should be encouraged and implemented. Third, strengthening international cooperation in plastic pollution control on the high seas is expected. Fourth, the international community should provide developing countries with the financial support and technical assistance in persistent organic pollutants control. All of these may contribute to the protection of the high seas environment and the future realization of the sustainable development of the oceans.

Developing and valuation for Techniques Fingerprint Recognition System

The distinctive patterns observed on human fingertips are a result of the combination of ridges and troughs present on the skin surface. These patterns achieve their complete development during the period of pregnancy and remain stable throughout an individual's lifespan. Fingerprints refer to the impressions formed by the unique patterns present on the fingertips. Bruising resulting from accidental injuries, such as cuts and burns, can temporarily compromise the visibility of fingerprints. However, after the lesion has fully healed, the original patterns will be restored. Fingerprint recognition is a highly dynamic and extensively researched domain within the realm of biometrics. The word refers to the abbreviated form of the computational technique employed to ascertain the concordance between two distinct human fingerprints. In this naturally tough pattern recognition issue, it is imperative to minimize two error rates: the False Accept Rate (FAR) and the False Reject Rate (FRR). These mistake rates are in competition with each other. The development of computing capabilities has facilitated the creation of Automated Fingerprint Authentication Systems (AFIS), leading to a substantial increase in research activity, particularly in the past twenty years. This article aims to provide a comprehensive review of the issue surrounding fingerprint recognition, including an analysis of its underlying design and implementation difficulties, along with an assessment of its potential future developments.

Theoretical and practical exploration of work-based learning curriculum with a case study

This contribution reviews the development of vocational education and training (VET) curriculum development in the last two decades in China, which is categorised into three models: curriculum with theory and practice in parallel (TPP), curriculum with theory in the service of practice (TSP), and integrated curriculum between theory and practice (ITP). It describes briefly also a VET curriculum reform project that adopts a design-based research approach. The main objective of this project is to explore curriculum models that can more effectively promote the development of learners’ holistic professional competences. Result shows that the new work-based curriculum, especially ITP, plays a positive role in promoting the professional action competence of students. The new curriculum also has been welcomed by employers. Difficulties in implementation of new curriculum are teaching capability and work experience defect of teachers, and the lack of self-directed learning competence of some students. The key problem to be solved in the future is how to effectively identify the courses and learning contents through effective qualification research.

Product innovation design process combined Kano and TRIZ with AD: Case study.

In the era of rapid product iteration, companies need simple and effective methods to guide the entire process of product innovation design and enhance their product innovation capabilities. Most research focused on improving one or several steps in the product design process. Although some scholars have proposed methods that guided the entire process, they combined more than three different theories, which increased the difficulty of theoretical learning and the complexity of practical implementation. This paper proposed a product innovation design process composed of three theoretical methods: Kano, Axiomatic Design (AD), and Theory of the Solution of Inventive Problems (TRIZ). This new process guided the entire product design process with fewer theoretical methods, reducing the difficulty of learning and implementation. The paper demonstrated the effectiveness of this method through the design practice of a portable two-wheeled self-balancing vehicle. Additionally, the discussion section explored the method's potential from the design management perspective.

Building resilience in primate tourism: insights from the COVID-19 pandemic and future directions.

The coronavirus disease 2019 (COVID-19) pandemic revealed the vulnerability of the tourism industry, triggering a call for a structural shift. This study focuses on COVID-19 impacts on primate tourism sites using the resilience-based wildlife tourism study of Jones etal. (2023) as an interpretive framework. Using an online survey, we collected data on impacts, changes, and challenges experienced at primate tourism destinations in various parts of the world. Based on 33 responses, the study found that the most profound impacts were financial, compromising the ability to run facilities and facilitate tourism due mainly to limitation of access to sites for tourists and/or staff/researchers. Seventeen respondents reported that their sites did not make substantial changes in response to the pandemic. This warrants further study to elicit the reasons for the lack of response. It may indicate difficulties in adaptation or implementation due to limited resources or other factors amid COVID-19 pandemic. We suggest that the framework proposed by Jones etal. (2023) has limitations in effectively addressing rapid and extensive repercussions of a disruption such as the COVID-19 pandemic.

A proposal for a framework process to guide the digital transformation in the R&D center of a Brazilian chemical industry

Despite the known advantages of digital transformation, many chemical industries have failed to advance digital maturity. Recent studies have shown that the main difficulties lie in the implementation process of digital technologies. In fact, digital projects are started within companies, but most of them do not go beyond the pilot phase. So, how should the digital transformation process be conducted to mitigate implementation difficulties? This article investigates the main barriers faced by the Research and Development (R&D) center of a Brazilian large chemical company and proposes a solution to improve the likelihood of digital transformation implementation success. Therefore, a prescriptive research was performed with a qualitive approach based on Design Science Research resulting in the artifact (a framework) design. The proposed solution is a framework which is composed by three phases, I-PREPARATION, II-ELABORATION OF DIGITAL PLAN, and III-EXECUTION OF DIGITAL PLAN, aiming to support the identification, prioritization, and execution of digital projects inside the sector. The framework was positively evaluated by companies’ specialists , suggesting that it’s a potential solution for improving the likelihood of digital transformation implementation effectiveness.

DICOM Standard and Its Application in Radioinformatics

The DICOM standard is the emerging standard in the field of medical informatics. It defines the standard network interface and data model makes the medical image equipment manufacturers on the standard network equipment interconnection, simplify the development of various types of medical image, promote open unrelated to the factory of medical digital image transmission and exchange, prompting the image archiving and communication system of PACS (Picture Archiving and Communication Systems) and the combination of various hospital information system HIS (Hospital Information Systems). Radiation therapy departments in many hospitals have purchased more than one manufacturer of radiotherapy planning systems, and treatment information has to be communicated using DICOM standards. The use of DICOM in radiotherapy is called DICOM RT. At home, doctors are not fully aware of its importance and researchers do not. This paper mainly discusses the implementation and application of DICOM and protocol in precision radiotherapy system. The main contents include: (1) DICOM RT defines a total of seven information objects, which play a pivotal role in the information exchange of radiotherapy system. Discuss the content of DICOM RT; discuss the development of radiotherapy technology at home and abroad. (2) At present, DICOM standard has been widely used in the field of medical informatics, but no authority can provide DICOM compatibility verification of imaging equipment or DICOM application system, which still has many difficulties in system interconnection, that is, the research and implementation of DICOM test method. (3) The application of DICOM in PACS system. (4) Impaired compression study without visual loss in medical images based on DICOM standard.

The poetry of cold in Yakut prose of the early twentieth century: cold as the border of the Yakut world

In recent years, an active appeal to the discourse of cold as a scientific problem has been observed in science, which is partly due to some extent to the transformation of the worldview of modern man, partly to the awareness of the fragility of the world balance in a globalising space. At the same time, the lack of development of the methodology, which consists in the absence of a conceptual, informational base, separate tools, creates difficulties in implementation this problem. In this regard, the topic presented in this article undoubtedly has great scientific potential and novelty in the context of the problem of geo-culture of the North. The purpose of the study is to study the concept of cold in the context of the geo-cultural landscape of Yakutia as a semantic structure, which manifests itself in the constancy of images, universals with cultural, historical, mental community and united in a single artistic system. The author pays special attention to the reception of the concept of cold in the aspect of binary positions of one's own and another's, where one's own is represented by an associative series of native, close, bright, safe, and participates in the formation of unique characteristics of the national world. The main attention is paid to the initial properties of cold, which form the borders of the Yakut world and participating in the design of a specific mental picture of Sakha, which is quite clearly reflected in the images of the initiating heroes of P.A. Oyunsky. In addition, the subject of the study is also the specifics of cold and its role in the actualisation of the unique geo-cultural quality of the city of Yakutsk as the coldest, most distant city, “the city on the edge”. The methods used in the article were systemic, structural research methods. Results. The study of this concept in the literary aspect helps to identify the peculiarities of the individual style, the author's position, and the peculiarities of constructing a national picture of the world.