Creative Strategies Research Articles

The Impact of the Optimization Strategy of the Public Transportation System on Sustainable Urban Development

As urbanization accelerates and awareness of environmental conservation rises, the optimization and modernization of public transportation systems, crucial to urban infrastructure, encounter novel challenges and prospects. While public transportation has evolved in the past few years, the city still grapples with issues of inefficiency and poor passenger contentment, hindering its sustainable growth. In this context, there's an immediate need to investigate the ways in which creative optimization strategies can enhance the efficiency of public transit systems and aid in building cities that are both environmentally sustainable and conserve resources. Based on the above, this paper focus on the optimization strategy of the public transportation system and its impact on sustainable urban development. Firstly, the analysis focuses on the current status and challenges of public transportation systems, examining how these relate internally to objectives of sustainable development. Secondly, the leading strategies and technical frameworks for optimizing public transportation systems are presented from theoretical and technical aspects, especially the application value of big data analysis, intelligent scheduling systems, and energy-saving and emission-reduction technology. In addition, the researchers constructed a model to analyze the positive effects of optimization strategies on urban traffic flow, system efficiency, and environmental quality. They verified the actual effectiveness of these strategies through case analysis. To sum up, the research highlights the vital importance of effective and eco-friendly public transportation in lessening city traffic jams, enhancing the living standards of inhabitants, and curtailing carbon emissions. Furthermore, it offers practical experience and strategic advice for other cities.

Implementasi Program Literasi Numerasi Kampus Mengajar Angkatan 7 di SDI Matsaratul Huda Pamekasan

The Teaching Campus Program provides students with the opportunity to study outside campus and contribute directly to the world of education, by becoming partners with teachers in developing creative, innovative and fun learning strategies. Through the Teaching Campus program, students can develop teaching skills and contribute positively to the world of education and help improve students' literacy and numeracy skills. The method applied involves active participation of students together with teachers in designing work programs that are creative, effective and interesting by utilizing various existing media and learning resources to increase student interest, activity and understanding, especially literacy and numeracy. . This service activity was carried out at SDI Matsaratul Huda, Pamekasan District, Pamekasan Regency, East Java. This activity was carried out for 4 months from 26 February 2024 to 15 June 2024. The final results of the Teaching Campus program were significantly able to improve the literacy and numeracy skills of students at SDI Matsaratul Huda. Apart from that, students' interests, activities and learning outcomes also increase with the campus teaching program.

Interdisciplinary Applications of AI: Dermatology and Psychology

Artificial Intelligence (AI) is profoundly transforming interdisciplinary domains like dermatology and psychology, providing revolutionary possibilities in the areas of diagnosis, treatment, and patient care. AI-driven solutions in dermatology are improving diagnostic accuracy by analyzing medical photos to identify skin disorders such as melanoma with a level of precision comparable to that of professional dermatologists. These technologies utilize machine learning algorithms that have been trained on extensive datasets to detect minor patterns and anomalies in skin lesions. This enables the early detection of skin conditions and the creation of personalized treatment strategies. Moreover, artificial intelligence (AI) assists in optimizing the efficiency of workflows, minimizing diagnostic inaccuracies, and enhancing the availability of dermatological treatment, particularly in places with limited access to healthcare services. Within the field of psychology, artificial intelligence (AI) has a significant influence. It is utilized to assess individuals' mental well-being by analyzing their text and speech patterns, employing techniques such as natural language processing and sentiment analysis. Artificial intelligence algorithms have the capability to observe and analyze patient interactions, offering immediate and accurate observations regarding emotional states and possible psychological illnesses. The incorporation of AI enables more precise evaluations and prompt actions, enhancing conventional therapeutic methods. In addition, chatbots and virtual therapists that utilise artificial intelligence provide instant assistance and ongoing supervision, thereby extending the accessibility of mental health care. The integration of AI with dermatology and psychology not only improves diagnostic skills and treatment results but also highlights the significance of interdisciplinary collaboration in advancing healthcare. By using artificial intelligence (AI), these industries can utilize data-driven analysis to provide more accurate, tailored, and easily accessible healthcare, thereby enhancing patient results and quality of life.

Decarbonization in the maritime industry: Factors to create an efficient transition strategy

The maritime industry faces intense scrutiny to address climate change amidst strict environmental regulations and societal expectations. The paper mainly focuses on understanding and evaluating the key factors driving the transition toward decarbonization in shipping. The study utilized qualitative analysis, focusing on reviewing current environmental targets set by major regulatory bodies, notably the International Maritime Organization (IMO) and the European Union (EU). The study concludes that a clear strategy for reducing emissions is essential, and a holistic approach must be adopted. Thus, the investigation identified several critical factors that can facilitate the creation of an effective strategy to achieve net zero emissions, comply with regulatory goals, and reduce current emissions. They are decarbonization levels (solutions), ecosystem (value chain), and drivers (enablers), collectively referred to as the decarbonization LED model. The study emphasizes the importance of stakeholder engagement and policy advocacy to support zero-emission transition. For instance, the paper explores the sector’s decarbonization potential through a value chain perspective (Scope 3): employing the life-cycle approach to assess the complete environmental footprint of ship – “Cradle-to-Grave” frameworks (from raw material extraction, production, and product use, until the end of its life) and “Well-to-Wake” methodology to evaluate greenhouse gas emissions from fuel production to end-use by a ship. Additionally, the paper assesses the potential impacts of environmental regulations in the maritime sector, predicting significant transformations in the industry’s operational, technological, and collaborative practices. AcknowledgmentThis study was partially supported by the SEUS project – Horizon Europe Framework Programme (HORIZON), under grant agreement No 101096224. This article reflects only the authors’ views, and the European Commission is not responsible for any use that may be made of the information it contains.

Revolutionizing public health: creative strategies for easing worker mental strain.

Revolutionizing public health: creative strategies for easing worker mental strain.

Principals’ sense-making and sense-giving of their professional role tensions: School leaders’ professionalism and creative mediation strategies during Covid-19 crisis

School principals are located at the interface between competing demands by a wide spectrum of stakeholders leading to tensions and ambiguities in their role. Understanding principals’ role tensions within organizational and occupational professionalism during Covid-19 crisis is of considerable importance for improving the capacity of school leadership. This qualitative study examines Israeli principals’ considerations and creative mediation strategies while facing competing accountabilities via the theoretical framework of sense-making and sense-giving in times of crisis. Using a collective case study design, data were collected via semi-structured interviews with 16 elementary and high school principals and policy documents, and analyzed thematically via ATLAS.ti software. The analysis surfaced three strategies and two considerations: (1) school leaders’ sense-making processes yielding protective mediation strategies based on retaining moral discretion; and (2) school leaders’ sense-giving processes transferring collaborative and contrived mediation strategies based on establishing the school's moral-professional cultural orientation. The contribution of this study to the research literature suggests contrived mediation as an innovative school leaders’ strategy. We provide practical implications within training and professional development programs for school leaders advocating principalship mentoring valuing uniqueness to experienced and novice principals.

Multicellular immune ecotypes within solid tumors predict real-world therapeutic benefits with immune checkpoint inhibitors.

Cancer initiation, progression, and immune evasion depend on the tumor microenvironment (TME). Thus, understanding the TME immune architecture is essential for understanding tumor metastasis and therapy response. This study aimed to create an immune cell states (CSs) atlas using bulk RNA-seq data enriched by eco-type analyses to resolve the complex immune architectures in the TME. We employed EcoTyper, a machine-learning (ML) framework, to study the real-world prognostic significance of immune CSs and multicellular ecosystems, utilizing molecular data from 1,610 patients with multiple malignancies who underwent immune checkpoint inhibitor (ICI) therapy within the ORIEN Avatar cohort, a well-annotated real-world dataset. Our analysis revealed consistent ICI-specific prognostic TME carcinoma ecotypes (CEs) (including CE1, CE9, CE10) across our pan-cancer dataset, where CE1 being more lymphocyte-deficient and CE10 being more proinflammatory. Also, the analysis of specific immune CSs across different cancers showed consistent CD8+ and CD4+ T cell CS distribution patterns. Furthermore, survival analysis of the ORIEN ICI cohort demonstrated that ecotype CE9 is associated with the most favorable survival outcomes, while CE2 is linked to the least favorable outcomes. Notably, the melanoma-specific prognostic EcoTyper model confirmed that lower predicted risk scores are associated with improved survival and better response to immunotherapy. Finally, de novo discovery of ecotypes in the ORIEN ICI dataset identified Ecotype E3 as significantly associated with poorer survival outcomes. Our findings offer important insights into refining the patient selection process for immunotherapy in real-world practice and guiding the creation of novel therapeutic strategies to target specific ecotypes within the TME.

“Newsers”: News Repertoires and News Perceptions Among Israeli Youth in the Digital Age

ABSTRACT This study examines Israeli youth’s news consumption habits and perceptions in a fragmented multi-media landscape intertwined in conflictual society. Using Q methodology and in-depth interviews with participants aged 15–18, the research uncovers four distinct cross-media repertoires of news consumers (“newsers”) varying by frequency, content, and platform. Our findings underscore that in the digital era, the definition of “news” has evolved, encompassing not only traditional media but also personal stories and social media updates on current affairs, including everyday life events. Building on existing literature, this research offers insights into the lives of young individuals navigating a rapidly evolving media terrain in a society marked by persistent conflict. The study sheds light on the emerging generation poised to influence Israeli democracy. Understanding their nuanced perception of news can inform content creation strategies to connect with and activate them. Our findings hold broader theoretical, methodological and practical implications for fostering civic engagement and promoting constructive action not only within Israel but also in other nations grappling with political unrest. By leveraging these insights, policymakers, media professionals, and educators can work toward cultivating a more informed and participatory citizenry, thus contributing to the advancement of democracy and social cohesion on a global scale.

Pengaruh Penggunaan Strategi Pemasaran Gerilya Dan Online Customer Review Terhadap Peningkatan Minat Beli Konsumen ( Studi Kasus UMKM Fashion Muslim Wnj.Id)

This study aims to determine the impact of guerrilla marketing strategies on WNJ ID, how influential guerrilla marketing strategies and online customer reviews are on increasing consumer buying interest. The research method used in this study used a qualitative approach with a descriptive method, and the data collected came from interviews and direct observation. The results showed that the synergy between guerrilla marketing strategies and online customer reviews can strengthen the influence on increasing consumer buying interest. When businesses implement guerrilla marketing strategies that create memorable experiences, and are supported by positive online customer reviews, consumers tend to be more confident and interested in buying products or using these services. WNJ ID has implemented guerrilla marketing and online customer reviews to increase consumer buying interest. From the results of the interview, the influence of guerrilla marketing strategies and online customer reviews has a significant influence on increasing consumer buying interest. The use of creative and unique guerrilla marketing strategies can generate consumer buying interest by creating memorable experiences. Meanwhile, positive online customer reviews can build consumer trust and confidence in the product.

Scaling up a circular business model for remanufacturing: A case study of a sustainable value creation strategy for the white goods industry

AbstractBecause of the ever‐increasing pressure on producers to adopt environmentally responsible industrial practices, remanufacturing has emerged as a key strategy to address the challenges of resource conservation and waste reduction. In this paper, we address a conspicuous research gap regarding innovative and large‐scale circular solutions in the form of remanufacturing systems. We investigate how the private sector can build widespread remanufacturing networks to handle waste from the appliance industry. Starting from a successful case study of a leading Italian distributor of spare parts, our analysis expands their existing business model and inductively develops an original framework for regional remanufacturing. Our resulting model encompasses a centralised hub specialised in high‐tech data management and supply‐chain logistics, coupled with two tiers of remanufacturing labs and repairers, diffusing triple‐bottom‐line benefits throughout the local territory. We discuss the generalisability of such a centralised/decentralised model and propose avenues for the policy support of systemic circular innovations.

Pharmacogenomics: A Genetic Approach to Drug Development and Therapy.

The majority of the well-known pharmacogenomics research used in the medical sciences contributes to our understanding of medication interactions. It has a significant impact on treatment and drug development. The broad use of pharmacogenomics is required for the progress of therapy. The main focus is on how genes and an intricate gene system affect the body's reaction to medications. Novel biomarkers that help identify a patient group that is more or less likely to respond to a certain medication have been discovered as a result of recent developments in the field of clinical therapeutics. It aims to improve customized therapy by giving the appropriate drug at the right dose at the right time and making sure that the right prescriptions are issued. A combination of genetic, environmental, and patient variables that impact the pharmacokinetics and/or pharmacodynamics of medications results in interindividual variance in drug response. Drug development, illness susceptibility, and treatment efficacy are all impacted by pharmacogenomics. The purpose of this work is to give a review that might serve as a foundation for the creation of new pharmacogenomics applications, techniques, or strategies.

Transcriptomic Analysis Reveals Sex-Based Differences in The Prefrontal Cortex of Autism Spectrum Disorder Patients.

The prevalence of neurological disorders often varies by sex, with conditions such as Alzheimer's disease and autism spectrum disorder (ASD) demonstrating notable differences in incidence. The aim of this study is to understand the molecular basis for these divergences in order to facilitate the creation of sex-specific therapeutic strategies. This study is a bioinformatic analysis of publicly available RNA sequencing datasets involving autism patients. The study utilized RNA sequencing data from postmortem human brains' prefrontal cortex, including 38 neurotypical controls and 34 individuals with ASD. The sequencing data was obtained from previously published papers, and we downloaded the raw data from SRA. We investigated the molecular basis of sex-biased presentation in ASD through comprehensive transcriptomic analysis. Comparative analysis of gene expression between male and female subjects, both autistic and unaffected, was conducted, using a significance level of ≤0.01. In autistic individuals, 136 genes demonstrated differential expression between sexes, predominantly upregulated in males, indicating a bias in male gene expression. Among these, 12 genes were identified as risk factors in the SFARI dataset. While most sex-biased genes were autosomal, expression differences on sex chromosomes were also observed in neurotypical subjects. Notable genes included TCF7L2, collagen family genes, and solute carrier family genes. In ASD males, extracellular matrix (ECM) organization emerged as a significant pathway, while immune-related processes were prominent in unaffected individuals. Our study highlights the impact of the ECM pathway in ASD, with notable differences between sexes, particularly in males. MIR424 shows promise as a potential biomarker for ASD in males. Recognizing the importance of sex differences in ASD transcriptomic research is crucial, as these variances provide insights into the disorder's pathophysiology and may guide the development of more personalized treatments for both sexes.

Analogy among electrical potential difference and gravitational dotencial difference on the teaching physics

The current research proposes to create a strategy that enables solid learning of the topicof electrical potential, through an analogy between electrical and gravitational potentials. The proposed activity conceives the use of low-cost materials with the objective of bringing physical knowledge closer to the students’ daily lives. This is because a certain lack of interest in Physics has been perceived in the focus population of this study, which in some way is contradictory, since thepresence of this science in our daily lives is manifested in the various activities that we carry out.in the context in which we are inserted. As well as, in the widespread use of new information andcommunication technologies to which the human species has been having access in recent years. For its part, for the creation of the aforementioned strategy, the use. The methodology includes a review of the available literature on the subject and has a qualitative-quantitative tendency, referring to the collected data’s analysis during the experience. The results shows that there were better students performances during the second stage of the research process. Which allows us to conclude that teaching Physics through analogies developed by the teachers of this subject enables better learning of this science to the extent that scientific and everyday knowledge are linked.

Charting Alzheimer's Disease and Dementia: Epidemiological Insights, Risk Factors and Prevention Pathways.

Alzheimer's disease (AD), the most common cause of dementia, is a complex and multifactorial condition without cure at present. The latest treatments, based on anti-amyloid monoclonal antibodies, have only a modest effect in reducing the progression of cognitive decline in AD, whereas the possibility of preventing AD has become a crucial area of research. In fact, recent studies have observed a decrease in dementia incidence in developed regions such as the US and Europe. However, these trends have not been mirrored in non-Western countries (Japan or China), and the contributing factors of this reduction remain unclear. The Lancet Commission has delineated a constrained classification of 12 risk factors across different life stages. Nevertheless, the scientific literature has pointed to over 200 factors-including sociodemographic, medical, psychological, and sociocultural conditions-related to the development of dementia/AD. This narrative review aims to synthesize the risk/protective factors of dementia/AD. Essentially, we found that risk/protective factors vary between individuals and populations, complicating the creation of a unified prevention strategy. Moreover, dementia/AD explanatory mechanisms involve a diverse array of genetic and environmental factors that interact from the early stages of life. In the future, studies across different population-based cohorts are essential to validate risk/protective factors of dementia. This evidence would help develop public health policies to decrease the incidence of dementia.

Care Navigation and Coordination Program on Reducing Hospital Use for Adults with Complex Health and Psychosocial Needs in South West Sydney, Australia.

Complex and siloed health and social service systems can be difficult for people to navigate. The fragmented and poorly linked services leads to ineffective communication between care teams, delayed access to services, concerns regarding quality and safety of patient care, as well as patient frustration and disengagement. Planned Care for Better Health (PCBH) is a community-based care navigation and coordination program for people with complex health and psychosocial needs who are at risk of future hospitalisation. It focuses on early identification and holistic care to remove barriers and improve access to healthcare. By including a persons', family and carers in planning, listening to their needs, supporting the person to achieve their goals, and empowering them to make decisions on their own health, PCBH aims to enhance clients' healthcare experience and reduce preventable hospital utilisation. Building trusting and collaborative relationships with clients, families, carers, and health service providers requires commitment. Acknowledging and addressing psychosocial needs is critical for enhancing health outcomes. Equipping patients with self-management skills and knowledge to navigate and engage support services may generate lasting effects, even post-program enrolment. PCBH is associated with a notable reduction in unplanned hospitalisations and total bed days. However, reduction in ED presentations is similar between the intervention and comparison cohorts. Future initiatives should focus on a shared vision of integrated care, robust leadership, and participative co-creation with service-level stakeholders. Sustained program establishment, a multidisciplinary care coordinator team, and an early creation of robust evaluation strategy must be considered.

The nonlinear impact of climate change on inland waterway transportation in the Upper Mississippi—Illinois River Region

The U.S. inland waterway system has played a critical role in promoting economic growth by efficiently transporting agricultural and manufacturing commodities along major riverine systems, such as the Mississippi River. However, the system faces escalating challenges due to the growing disruptions caused by climate change. For instance, the drought of the Mississippi River during the fall of 2022 resulted in an unprecedented increase in barge shipping rates. While the industry generally recognizes that climate change can significantly impact agricultural supply chains, it remains unclear how various environmental factors, including changes in water levels and temperature, affect inland waterway operations. This study aims to fill this research gap by conducting an empirical assessment of the impact of climate change-related factors on the operations of the inland waterway system in the Upper Mississippi—Illinois River Region. Unlike previous studies using conventional regression analysis, this study investigates the nonlinear relationship between changes in barge shipping rates and various environmental factors using the Gradient Boosting Decision Trees machine-learning method. Our analysis identifies the 29 ft gage height as a pivotal threshold influencing barge rates; rates tend to rise as the gage height decreases, and surpassing this threshold can also lead to increased shipping rates. This new approach enhances the model’s predictive capacity, allowing for a better understanding of the nonlinear effects of climate change on barge rates and productivity. It also enables planners and operational agencies to better understand the uncertainty of environmental conditions on the variations in barge rates and productivity performance. These findings provide valuable insights for decision-makers to understand the threshold effect of environmental conditions on inland waterway operations and facilitate the creation of effective adaptive strategies to mitigate future risks and consequences of climate change-induced disruptions.

Forecast of chlorophyll-a concentration as an indicator of phytoplankton biomass in El Val reservoir by utilizing various machine learning techniques: A case study in Ebro river basin, Spain

The trophic condition of bodies of water, such as oceans, lakes, and reservoirs, can be accurately assessed thanks to the use of chlorophyll-a, or Chl-a, as an indicator of phytoplankton biomass and abundance. In fact, the main molecule in charge of photosynthesis is Chl-a. This work presents a powerful and reliable nonparametric method for predicting the concentration of Chl-a in El Val reservoir using a dataset containing 240,765 samples: the Support Vector Regression (SVR) with different kinds of kernels. This mathematical SVR-relied model was constructed using five years (2018–2022) of water quality variable monitoring (physico-chemical independent variables) in the El Val reservoir (located in the northeast of Spain). For comparison, M5 model trees, a the Multilayer Perceptron (MLP), that is a particular type of artificial neural network (ANN), and multivariate linear regression (MLR) were also used for the same observed data. The Grid Search (GS) algorithm was employed as an optimizer; this approach greatly improves the regression precision by allowing the optimal kernel parameters to be chosen during the SVR training phase. There are two ways to sum up the findings of this investigation. First, it is determined how relevant each input variable is to the Chl-a concentration in the El Val reservoir. Second, this hybrid GS/SVR-relied model with PUK kernel can accurately predict the Chl-a (R2 and r values were 0.8989 and 0.9499, respectively). The model’s agreement with the observed data amply proves the remarkable efficacy of this creative strategy.

A study on creative drawing strategies based on the human head features in children's realistic figure drawings

Creative strategies used in drawing practice determine the visual effects of drawing. Drawing strategies reflect children's understanding, association, and summarisation of the visual features of objects. In the case of the human head, visual features are composed of positional, contour, and structural features. This study assessed the creative strategies of children aged 7–12 years based on their drawings of the visual features of the eyebrows, eyes, nose, mouth, ears, and neck in realistic figures. Children's strategies for creating visual features of the human head were classified into four types: hidden, abstract, summarised, and realistic. The results showed that most children used abstract creation strategies to represent the visual features of the nose and mouth in their drawings. Most children expressed the visual features of the eyes and neck using summarised creative strategies. A few children applied realistic creative strategies to draw the visual features of eyebrows, eyes, nose, mouth, and ears. Children used simplified structural features as a strategy to understand the visual features of the human head before creating their drawings. Most of the children tended to express the overall features of the human head with less curvature or number of contour lines in their drawings. Children regard the eyes and mouth as the major elements when drawing the visual features of the human head. Children regard eyebrows, noses, and ears as secondary elements expressing human heads. Accordingly, teachers need to educate children to understand and summarise the visual features of these secondary elements. Teachers also need to guide children in converting the visual elements from their understanding to the graphical elements in drawings.

USE OF CONSUMER DATA FOR BEHAVIOURAL ADVERTISING WITHIN MARKETPLACE PLATFORMS

Advertising plays an important role in consumer market, as it can awaken previously non-existent needs in the consumer and, due to its too much economic potential, has encouraged the creation and use of various engagement strategies. Some marketplace platforms store consumers’ data without proper consent and uses them for the development of advertising according to their behavior. Thus, the issue is based on the absence of regulation regarding such advertising strategy in the Brazilian legal system, since this conduct may violate the privacy of consumers, besides enabling a disproportionate advantage over other suppliers. It seeks to demonstrate what are the legal limits for the development of this practice, as well as to relate the Law of Consumer Relations to the Competition Law, since behavioral advertising unbalances the use of data allowing a non-egalitarian development of the trading system. Therefore, the methodological procedures used for this analysis consist of applied research, with a qualitative and hypothetical-deductive approach and descriptive objective, given to socioeconomic applicability. It is concluded, in view of this, that although behavioral advertising does not yet have a specific regulation in the Brazilian consumer microsystem, when the collection of data is not expressly authorized by consumers, this conduct can be considered abusive, based on Article 39 of the CDC, due to the violation of consumer privacy and the configuration of unfair competition.

Exploring Instructional Strategies and Environmental Factors that Influence Student Creativity in Piano Teaching

This study aims to explore the instructional strategies and environmental factors that influence student creativity in piano teaching. Through a systematic literature review, the research examines past studies in this field. The findings highlight the benefits of creative activities for students’ social, emotional, cognitive, and musical development. Effective instructional strategies such as improvisation and composition, as well as environmental factors like home settings and classroom climate, significantly impact student creativity. Additionally, the use of technology in modern piano teaching enhances student creativity. The study also discusses the application and challenges of various assessment methods for measuring creativity in piano students. The results indicate that both traditional and modern teaching methods have their advantages, and a combined approach may better foster overall student creativity and skill development. Future research should further analyze the long-term effects of creative instructional strategies and the specific environmental factors that influence student creativity.