Opportunities For Integration Research Articles

Primary Care Providers' Experiences With an Active Elective Genetic Testing Program.

Elective genetic testing (EGT) programs that provide pharmacogenomic information to guide medication management and screen for medically actionable disease predispositions are emerging in a number of health systems. Primary care providers (PCPs) are at the forefront of test initiation, patient education, and management of EGT results. However, little research has examined the experiences of PCPs in health systems offering clinical EGT. We conducted semi-structured interviews, a sub-study of the larger mixed-methods Imagenetics Initiative, with 16 PCPs at a health system in the Midwest with a clinical EGT program supported by provider education, automated clinical decision support, and enhanced access to genetic specialists. The purpose of these interviews was to understand perceptions about the benefits and barriers of implementing EGT in clinical practice. Thematic analysis indicated that EGT is conceptualized similar to traditional diagnostic services. PCPs were generally favorable toward EGT; however, targeted education did not dispel misconceptions about the goals, results, and limitations of EGT. Most PCPs endorsed the potential utility of EGT. Pharmacogenomic profiling was seen as having more immediate impact for patients than screening for monogenic disease risks. PCPs reported that they weighed discussions about EGT against time limitations and the need to prioritize patients' existing health concerns. Regardless of their education levels and familiarity with genetics, PCPs desired additional educational resources and greater access to genetic specialists. Our study provides unique insight into PCPs' experiences with clinical EGT in health systems that have adopted EGT and highlights the practical challenges and potential opportunities of EGT integration.

FORMATION OF EFFECTIVE BUSINESS ENVIRONMENT IN GEORGIA WITH THE ASSISTANCE OF

Besik Kvachantiradze E-mail: b.kvatchantiradze@gmail.com PhD Students,Batumi Shota Rustaveli state University Batumi, Georgia https://orcid.org/0000-0003-2833-1007 Abstract: The article discusses the stages of formation of the business environment of Georgia and the ways of its improvement with the cooperation of the European Union. Strengthening relations with the European Union has been the main goal of Georgia's foreign policy for years. Small and medium-sized enterprises, which are the basis of the successful development of the European Union, in recent decade have been operating in close collaboration with large businesses. Therefore, in our opinion, it is interesting to analyze the ratio of large, medium and small enterprises in the European Union. Since Georgia has taken the direction to European development, a number of reforms have been implemented in the country to encourage small and medium-sized businesses, which in turn has a possitive effect on the development of the country's overall economy. In addition to the state support for small businesses in the European Union, all member states have their own national system for stimulating the development of small businesses, the purpose of which is to create an economic climate that will contribute to the creation of economic conditions and normal functioning. This, in the first place, includes the creation of national institutions and the organization of financial assistance, training system for enterprise manager and entrepreneurs who want to start independent activities. Under taking European experience and mechanisms into consideration, a number of projects were implemented in Georgia, which contributed to the expansion and development of Georgian small and medium-sized businesses, in addition, retraining of the Georgian workforce and adjusting working conditions to European standards. Moreover, Georgia can greatly accelerate its economic development, strengthen its competitiveness and achieve its goals - through sustainable growth and job creation. Cooperation with the European Union offers Georgia great opportunities for learning, innovation and integration into the global economy. The article offers recommendations and suggestions that focus on creating closer relations with the European Union and attracting more foreign investment, which will ensure the economic prosperity of the country. Keywords: Business environment, small and medium business, cooperation with the European Union. JEL classification: O1, G2, E4

ChatGPT, Copilot, Gemini, SciSpace and Wolfram versus higher education assessments: an updated multi-institutional study of the academic integrity impacts of Generative Artificial Intelligence (GenAI) on assessment, teaching and learning in engineering

ABSTRACT More than a year has passed since reports of ChatGPT-3.5’s capability to pass exams sent shockwaves through education circles. These initial concerns led to a multi-institutional and multi-disciplinary study to assess the performance of Generative Artificial Intelligence (GenAI) against assessment tasks used across 10 engineering subjects, showcasing the capability of GenAI. Assessment types included online quiz, numerical, oral, visual, programming and writing (experimentation, project, reflection and critical thinking, and research). Twelve months later, the study was repeated using new and updated tools ChatGPT-4, Copilot, Gemini, SciSpace and Wolfram. The updated study investigated the performance and capability differences, identifying the best tool for each assessment type. The findings show that increased performance and features can only heighten academic integrity concerns. While cheating concerns are central, opportunities to integrate GenAI to enhance teaching and learning are possible. While each GenAI tool had specific strengths and weaknesses, ChatGPT-4 was well-rounded. A GenAI Assessment Security and Opportunity Matrix is presented to provide the community practical guidance on managing assessment integrity risks and integration opportunities to enhance learning.

Understanding the intergenerational impact of migration: An adult mortality advantage for the children of forced migrants?

Children of immigrants often have excess mortality rates, in contrast to the low mortality typically exhibited by their parents' generation. However, prior research has studied children of immigrants who were selected into migration, thereby rendering it difficult to isolate the intergenerational impact of migration on adult mortality. We use semi-parametric survival analysis to carry out a total population cohort study estimating all-cause and cause-specific mortality among all adult men and women from age 17 among all men and women born in 1953-1972 and resident in Finland in 1970-2020. We compare children of forced migrants from ceded Karelia-an area of Finland that was ceded to Russia during the Second World War-with the children of parents born in present-day Finland. Children with two parents who were forced migrants have higher mortality than children with two parents born in Northern, Southern and Western Finland, but similar or lower mortality than the subpopulation of children whose parents were born in the more comparable areas of Eastern Finland. For women and men, a mortality advantage is largest for external causes and persists after controlling for socio-economic factors. Our findings suggest that forced migration can have a beneficial impact on the mortality of later generations, at least in the case where forced migrants are able to move to contextually similar locations that offer opportunities for rapid integration and social mobility. The findings also highlight the importance of making appropriate comparisons when evaluating the impact of forced migration.

A hierarchical optimization approach to maximize hosting capacity for electric vehicles and renewable energy sources through demand response and transmission expansion planning

Within the scope of sustainable development, integrating electric vehicles (EVs) and renewable energy sources (RESs) into power grids offers a number of benefits. These include reducing greenhouse gas emissions, diversifying energy sources, and promoting the use of green energy. Although the literature on hosting capacity (HC) models has grown, there is still a noticeable gap in the discussion of models that successfully handle transmission expansion planning (TEP), demand response (DR), and HC objectives simultaneously. Combining TEP, DR, and HC objectives in one model optimizes resource use, enhances grid stability, supports renewable and EV integration, and aligns with regulatory and market demands, resulting in a more efficient, reliable, and sustainable power system. This research presents an innovative two-layer HC model, including considerations for TEP and DR. The model determines the highest degree of load shifting appropriate for incorporation into power networks in the first layer. Meanwhile, the second layer focuses on augmenting the RES and EVs’ hosting capability and modernizing the network infrastructure. System operators can choose the best scenario to increase the penetration level of EVs and RESs with the aid of the proposed model. The proposed model, which is formulated as a multi-objective mixed-integer nonlinear optimization problem, uses a hierarchical optimization technique to identify effective solutions by combining the particle swarm optimization algorithm and the crayfish optimizer. When compared to traditional methods, the results obtained from implementing the proposed hierarchical optimization algorithm on the Garver network and the IEEE 24-bus system indicated how effective it is at solving the presented HC model. The case studies demonstrated that integrating DR into the HC problem reduced peak load by 10.4–23.25%. The findings also highlighted that DR did not impact the total energy consumed by EVs throughout the day, but it did reshape the timing of EV charging, creating more opportunities for integration during periods of high demand. Implementing DR reduced the number of projects needed and, in some cases, led to cost savings of up to 12.3%.

Understanding the Competition and Cooperation between Dockless Bike-Sharing and Metro Systems in View of Mobility

The advent of dockless bike-sharing (DBS) represents an effective solution to enhance public transportation usage. However, despite growing interest in integrating DBS with metro systems, comprehensive studies on their competitive and cooperative relationships remain limited. This study aims to analyze the spatial, temporal, and mobility characteristics of metro-related DBS to explore integration opportunities. Initially, three modes of interaction between DBS and metros are identified: strong competition, weak competition, and feeder relationships. Subsequently, based on these relationships, the analysis focuses on distance, spatio-temporal patterns, and the scope of DBS activities. Results from Beijing indicate that metro-associated DBS primarily serves as “last-mile” solutions without significant short-range competition with metro systems. Strongly competitive relationships, on the other hand, are interaction patterns due to the dense overlay of metro stations and inconvenient transfer facilities and are mainly used for non-commuting purposes. Furthermore, weakly competing and feeder DBS systems exhibit similar commuting patterns, highlighting bicycling as a viable alternative to walking within metro catchment areas and that metro catchment areas should be adapted to bicycling. Mobility communities, identified as tightly integrated cycling hubs, are proposed as strategic dispatch zones to manage peak demands and reduce operational strain on DBS fleets. These findings deepen our understanding of DBS and metro system interactions, offering insights to optimize public transport operations and enhance urban mobility solutions.

Understanding the Competition and Cooperation between Dockless Bike-Sharing and Metro Systems in View of Mobility

The advent of dockless bike-sharing (DBS) represents an effective solution to enhance public transportation usage. However, despite growing interest in integrating DBS with metro systems, comprehensive studies on their competitive and cooperative relationships remain limited. This study aims to analyze the spatial, temporal, and mobility characteristics of metro-related DBS to explore integration opportunities. Initially, three modes of interaction between DBS and metros are identified: strong competition, weak competition, and feeder relationships. Subsequently, based on these relationships, the analysis focuses on distance, spatio-temporal patterns, and the scope of DBS activities. Results from Beijing indicate that metro-associated DBS primarily serves as “last-mile” solutions without significant short-range competition with metro systems. Strongly competitive relationships, on the other hand, are interaction patterns due to the dense overlay of metro stations and inconvenient transfer facilities and are mainly used for non-commuting purposes. Furthermore, weakly competing and feeder DBS systems exhibit similar commuting patterns, highlighting bicycling as a viable alternative to walking within metro catchment areas and that metro catchment areas should be adapted to bicycling. Mobility communities, identified as tightly integrated cycling hubs, are proposed as strategic dispatch zones to manage peak demands and reduce operational strain on DBS fleets. These findings deepen our understanding of DBS and metro system interactions, offering insights to optimize public transport operations and enhance urban mobility solutions.

Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare.

The field of multi-omics has witnessed unprecedented growth, converging multiple scientific disciplines and technological advances. This surge is evidenced by a more than doubling in multi-omics scientific publications within just two years (2022-2023) since its first referenced mention in 2002, as indexed by the National Library of Medicine. This emerging field has demonstrated its capability to provide comprehensive insights into complex biological systems, representing a transformative force in health diagnostics and therapeutic strategies. However, several challenges are evident when merging varied omics data sets and methodologies, interpreting vast data dimensions, streamlining longitudinal sampling and analysis, and addressing the ethical implications of managing sensitive health information. This review evaluates these challenges while spotlighting pivotal milestones: the development of targeted sampling methods, the use of artificial intelligence in formulating health indices, the integration of sophisticated n-of-1 statistical models such as digital twins, and the incorporation of blockchain technology for heightened data security. For multi-omics to truly revolutionize healthcare, it demands rigorous validation, tangible real-world applications, and smooth integration into existing healthcare infrastructures. It is imperative to address ethical dilemmas, paving the way for the realization of a future steered by omics-informed personalized medicine.

Nationalism and Economic Development in Lebanon: Challenges and Opportunities for Unity and Integration

Lebanon is a small country on the shores of the Mediterranean Sea, known as a country with a strategic position geographically and politically. It was a divided country full of endless conflicts. This paper analyses the obstacles and opportunities to build Lebanese nationalism to realize the nation's integrity. Lebanon's main obstacles are the heterogeneity of society, foreign interference, and intergroup affiliations with other countries. At the same time, the foremost opportunity to build Lebanese nationalism is that they have the same language and culture, namely Arabic. Strong nationalism is the capital to build lasting political stability. This research is qualitative research that will collect specific qualitative data to create generalizations. Arabic as a language, identity, and culture is the most vital cohesive factor that unites the country and originates Lebanese nationalism. The problem of building Lebanese nationalism is mainly dependent on a strong government that can control the people. The challenge is that the ruling government comes from a minority religion, namely Maronite Christians dealing with Sunni and Shia Muslims and other Christian groups. Hence, a strategy is needed to create common interests that can be accepted by all groups, namely economic development amid the current Lebanese financial crisis. Received: 20 March 2024 / Accepted: 30 June 2024 / Published: 02 July 2024

Adapted Design Process for Continuous Fiber-Reinforced Additive Manufacturing-A Methodological Framework.

Continuous fiber-reinforced material extrusion is an emerging additive manufacturing process that builds components layer by layer by extruding a continuous fiber-reinforced thermoplastic strand. This novel manufacturing process combines the benefits of additive manufacturing with the mechanical properties and lightweight potential of composite materials, making it a promising approach for creating high-strength end products. The field of design for additive manufacturing has developed to provide suitable methods and tools for such emerging processes. However, continuous fiber-reinforced material extrusion, as a relatively new technology, has not been extensively explored in this context. Designing components for this process requires considering both restrictive and opportunistic aspects, such as extreme anisotropy and opportunities for functional integration. Existing process models and methods do not adequately address these specific needs. To bridge this gap, a tailored methodology for designing continuous fiber-reinforced material extrusion is proposed, building on established process models. This includes developing process-specific methods and integrating them into the process model, such as a process selection analysis to assess the suitability of the method and a decision model for selecting the process for highly stressed components. Additionally, a detailed design process tailored to continuous fiber-reinforced material extrusion is presented. The application of the developed process model is demonstrated through a case study.

Analyzing EV Charging Patterns: Towards Efficient Infrastructure Deployment

This paper analyzes real-world EV charging data, covering station distribution, volume, duration probability, and utilization efficiency. Future infrastructure developments and improvement recommendations are discussed. Based on diverse station data, including probability distributions and regression analysis, findings reveal disparities in infrastructure availability and charging patterns. Strategic planning and investment are emphasized to meet growing EV charging demands, along with exploring opportunities in renewable energy integration and smart charging technologies. Overall, this study provides insights for promoting widespread EV adoption and sustainable transportation.

Grand rounds in methodology: designing for integration in mixed methods research

Mixed methods research is a popular approach used to understand persistent and complex problems related to quality and safety, such as reasons why interventions are not implemented as intended or...

Oleogel for improving the texture and flavor in rice cooking: Preparation from natural wax and rice bran oil and characterization

This study involved the preparation and characterization of oleogels from rice bran oil with different waxes and the potential application in improving the texture and flavor in rice cooking. The findings revealed a substantial improvement in rice texture with the addition of oleogel, particularly noteworthy at a 3% (w/w) incorporation of RBW (Rice Bran Wax). Under this condition, the hardness reached 15.75N, and stickiness measured 2.16N. The incorporation of 1–3% (w/w) oleogel significantly enhances the color vibrancy of rice during the cooking process, resulting in an increase in the L* value of the rice from 73.86 to 73.95-76.74. Sensory evaluation revealed higher scores for BW (Bee Wax) and RBW at 40.68 and 40.23 points, respectively. Microscopic structural analysis indicated that the incorporation of RBW oleogel led to rice samples with the smallest pores, contributing to a more refined internal pore structure in the grains. In the control rice, 7 aldehyde compounds were detected with a relative content of 43.44%. The addition of oleogel increased the number of aldehyde compounds to 9, with a relative content of 48.06%. This study expands the potential applications of oleogels in rice cooking, enriching flavor profiles and presenting opportunities for integration into the food industry.

THE ROLE OF INTRADISCIPLINARY INTEGRATION IN THE FORMATION OF CONTENT LINES ON THE SUBJECT OF BIOLOGY

The article talks about the role of intra-disciplinary integration in the formation of content lines. It is emphasized that internal integration is important in updating and improving content lines. Structure and physiological processes of living things, interactions and energy in ecosystems, heredity and molecular genetics, lifestyle and health, biodiversity and natural resources, classification and evolution content lines are clarified. The use of opportunities for integration between content lines allows students to draw attention to the form of a living object, its relationship with its function, its relationship with the environment, individual and historical development, origin, and completeness of a living object.

Agrivoltaic systems for sustainable energy and agriculture integration in Turkey

In recent years, the use of solar photovoltaic (PV) energy, which is one of the leading renewable energy sources, has become increasingly widespread around the world due to its numerous advantages. However, PV-based electricity generation necessitates a large amount of land. Agrivoltaic (AV) systems, an innovative approach to combining agricultural and electricity production in the same area through solar modules positioned several meters above the surface of the ground, are growing rapidly in renewable energy and farming communities. This study explores Turkey's solar power generation and agricultural activities, combining crop cultivation and electricity generation for sustainable development on the same land. Furthermore, the AV potential for the most agriculture ten cities in different climate zones in Turkey is investigated using the PVsyst program. A list of the most commonly grown crops in the ten selected cities and the types of AV systems that can be employed with these crops is provided. The results show that AV systems present a great opportunity for the optimal integration of solar power generation with food production, especially for the cities of Konya, Kayseri, and Manisa, with the most ideal conditions for agricultural and solar power production. By combining the solar power potential of the country with the production capacity of arable lands, the increasing energy needs can be met and more efficient agricultural production can be provided. This study is expected to demonstrate that in specific regions of Turkey, AV farming will be suitable for certain crops.

A Study on Migrated Silk Entrepreneurs for Economic Impact with Special Reference to Kancheepuram

This research paper delves into the economic impacts of migrated silk entrepreneurs in Kancheepuram, a region synonymous with silk production in India. The study's primary objective is to uncover the contributions, challenges, and opportunities that migrated entrepreneurs bring to the traditional silk industry and to assess their role in the economic development of Kancheepuram. Employing a qualitative research design, the methodology hinges on semi-structured interviews with 30 migrated silk entrepreneurs, analysed through thematic analysis using NVivo 12 to identify recurring themes. Key findings reveal that migrated entrepreneurs significantly contribute to job creation, innovation, and market expansion in Kancheepuram's silk industry. They face considerable challenges, including market competition, access to capital, and regulatory hurdles, yet identify notable opportunities in technological advancements, sustainability, and global market integration. The study fills a crucial gap in the literature by offering detailed insights into the complex dynamics between migration, entrepreneurship, and economic development in a traditional industry context. The implications of this research are manifold, highlighting the need for supportive policy frameworks that recognize the unique needs and potential of entrepreneurs in traditional sectors. Furthermore, it underscores the importance of fostering an environment conducive to innovation and sustainability, thereby enhancing the global competitiveness of traditional industries like silk production.

Machine learning versus deep learning in land system science: a decision-making framework for effective land classification

This review explores the comparative utility of machine learning (ML) and deep learning (DL) in land system science (LSS) classification tasks. Through a comprehensive assessment, the study reveals that while DL techniques have emerged with transformative potential, their application in LSS often faces challenges related to data availability, computational demands, model interpretability, and overfitting. In many instances, traditional ML models currently present more effective solutions, as illustrated in our decision-making framework. Integrative opportunities for enhancing classification accuracy include data integration from diverse sources, the development of advanced DL architectures, leveraging unsupervised learning, and infusing domain-specific knowledge. The research also emphasizes the need for regular model evaluation, the creation of diversified training datasets, and fostering interdisciplinary collaborations. Furthermore, while the promise of DL for future advancements in LSS is undeniable, present considerations often tip the balance in favor of ML models for many classification schemes. This review serves as a guide for researchers, emphasizing the importance of choosing the right computational tools in the evolving landscape of LSS, to achieve reliable and nuanced land-use change data.

Insights into ALD and AUD diagnosis and prognosis: Exploring AI and multimodal data streams.

The rapid evolution of artificial intelligence and the widespread embrace of digital technologies have ushered in a new era of clinical research and practice in hepatology. Although its potential is far from realization, these significant strides have generated new opportunities to address existing gaps in the delivery of care for patients with liver disease. In this review, we discuss how artificial intelligence and opportunities for multimodal data integration can improve the diagnosis, prognosis, and management of alcohol-associated liver disease. An emphasis is made on how these approaches will also benefit the detection and management of alcohol use disorder. Our discussion encompasses challenges and limitations, concluding with a glimpse into the promising future of these advancements.

Recognizing Sign Language using Machine Learning and Deep Learning Models

Individuals with hearing impairments communicate mostly through sign language. Our goal was to create an American Sign Language recognition dataset and utilize it in a neural network-based machine learning model that can interpret hand gestures and positions into natural language. In our study, we incorporated the SVM, CNN and Resnet-18 models to enhance predictability when interpreting ASL signs through this new dataset, which includes provisions such as lighting and distance limitations. Our research also features comparison results between all the other models implemented under invariant conditions versus those using our proposed CNN model. As demonstrated by its high levels of precision at 95.10% despite changes encountered during testing procedures like varying data sets or scene configurations where losses are minimal (0.545), there exists great potential for future applications in image recognition systems requiring deep learning techniques. Furthermore, these advancements may lead to significant improvements within various fields related explicitly to speech-language therapy sessions designed specifically around helping people overcome challenges associated with deafness while building bridges towards improved social integration opportunities.

Challenges and Recommendations for the Pension Tourism Market in the Era of Internet Plus

With the rise of "Internet Plus", the integration of the pension industry and the tourism market is facing unprecedented challenges while also presenting boundless opportunities. This study aims to explore the underlying motivations, analyze the difficulties encountered in the development of the pension tourism market, and put forward countermeasures. Moreover, the operation mode and promotion mode of the pension tourism market in the era of the "Internet Plus" are analyzed in this research through the combination of supply-demand analysis, literature review, and case analysis. The result shows that the changes in Internet technology and market demand pose challenges to the traditional pension tourism market; however, they also provide new opportunities for industry integration and market segmentation. Our research conclusion emphasizes that the industry needs to cultivate talent, introduce intelligent management, strengthen personalized services, simplify service processes, and protect information security to adapt to the changes in the Internet era so as to achieve sustainable development.