Transformation Strategy Research Articles

Hydrocarbon metabolism and petroleum seepage as ecological and evolutionary drivers for Cycloclasticus.

Aqueous-soluble hydrocarbons dissolve into the ocean's interior and structure deep-sea microbial populations influenced by natural oil seeps and spills. n-Pentane is a seawater-soluble, volatile compound abundant in petroleum products and reservoirs and will partially partition to the deep-water column following release from the seafloor. In this study, we explore the ecology and niche partitioning of two free-living Cycloclasticus strains recovered from seawater incubations with n-pentane and distinguish them as an open ocean variant and a seep-proximal variant, each with distinct capabilities for hydrocarbon catabolism. Comparative metagenomic analysis indicates the variant more frequently observed further from natural seeps encodes more general pathways for hydrocarbon consumption, including short-chain alkanes, aromatics, and long-chain alkanes, and also possesses redox versatility in the form of respiratory nitrate reduction and thiosulfate oxidation; in contrast, the seep variant specializes in short-chain alkanes and relies strictly on oxygen as the terminal electron acceptor. Both variants observed in our work were dominant ecotypes of Cycloclasticus observed during the Deepwater Horizon disaster, a conclusion supported by 16S rRNA gene analysis and read-recruitment of sequences collected from the submerged oil plume during active flow. A comparative genomic analysis of Cycloclasticus across various ecosystems suggests distinct strategies for hydrocarbon transformations among each clade. Our findings suggest Cycloclasticus is a versatile and opportunistic consumer of hydrocarbons and may have a greater role in the cycling of sulfur and nitrogen, thus contributing broad ecological impact to various ecosystems globally.

Roma in the COVID-19 Crisis: Transformative Elements That Emerge from the Research

Research on the impact of the COVID-19 pandemic on the Roma community consistently demonstrates that it has exacerbated pre-existing social exclusion and marginalization. However, few studies have specifically addressed the transformative actions or strategies that helped to mitigate these adverse effects. This study aimed to identify and analyze transformative elements through a systematic review, following PRISMA guidelines. The search was conducted across Web of Science, SCOPUS, and Google Scholar, yielding 995 records, of which 46 were included in the final phase and 25 in our synthesis. Our analysis focused on community-led initiatives that addressed inequalities, particularly when Roma community members were involved in the design of solutions or took on mediation roles. The results underscore the critical importance of inclusive, community-driven actions in overcoming structural barriers and promoting long-term resilience within Roma communities during the pandemic.

Modern trends in digital transformation of the world economy and their practical application in the Russian Federation

Subject. The article deals with the integration of digital technologies into various spheres of society. Objectives. The study aims at the extrapolation of the most effective areas of digital transformation of the world economy to the Russian practice to implement new competitive opportunities. Methods. We employed methods of logical and comparative analysis. Results. Active digitalization increases the competitiveness of the economy and labor productivity. The inclusion of the position of Director of Digital Technologies in the staffing table of large enterprises will contribute to the development of the digital economy in Russia. Conclusions. Our recommendations will increase the profitability of investing in digital transformation. The findings may be helpful for company executives when forming a digital transformation strategy, as well as for private investors.

Pendidikan Transformatif: Tantangan Mutu dan Kompetensi Guru Bahasa Indonesia di Banyuwangi

Transformative learning creates changes in an individual's perspective, making individuals more mature and mature in thinking and acting, based on cognitive, rational, affective and affective processes, as well as communicative and social aspects which aim to make a person smarter and more critical. The importance of teacher competence and quality in the world of education has a big influence on student success. This research aims to determine the role and innovation of transformative education in improving quality and competence as well as transformative education strategies in improving the quality and competence of Banyuwangi Indonesian language teachers. This research uses qualitative research methods with the type of microethnography. The data collection techniques used include participant observation, structured interviews, qualitative notes, and documentation. Researchers used data analysis using the Miles Huberman flow with four stages including; data collection, data reduction, concluding research data, and data verification. Research states that teachers must be able to improve the quality and competence of education along with changing times. Changes in education can begin with the presence of teachers who are qualified and able to have competitiveness in terms of quality and competence.

Strategies for genetic manipulation of the halotolerant black yeast Hortaea werneckii: ectopic DNA integration and marker-free CRISPR/Cas9 transformation.

Hortaea werneckii is a halotolerant black yeast commonly found in hypersaline environments. This yeast is also the causative agent of tinea nigra, a superficial mycosis of the palm of the hand and soles of the feet of humans. In addition to their remarkable halotolerance, this black yeast exhibits an unconventional cell division cycle, alternating between fission and budding cell division. Cell density and the salt concentration in their environment regulate which cell division cycle H. werneckii uses. Although H. werneckii have been extensively studied due to their unique physiology and cell biology, deciphering the underlying mechanisms behind these remarkable phenotypes has been limited due to the lack of genetic tools available. Here, we report a new ectopic integration protocol for H. werneckii using polyethylene glycol-CaCl2 mediated protoplast transformation. This approach relies on a drug (hygromycin B) resistance gene to select for successful integration of the genetic construct. The same construct was used to express cytosolic green fluorescent protein. Finally, we developed a marker-free CRISPR/Cas9 protocol for targeted gene deletion using the melanin synthesis pathway as a visual reporter of successful transformation. These transformation strategies will allow testing hypotheses related to H. werneckii cell biology and physiology.IMPORTANCEHortaea werneckii is a remarkable yeast capable of growing in high salt concentration, and its cell division cycle alternates between fission-like and budding. For these unique attributes, H. werneckii has gathered interest in research programs studying extremophile fungi and cell division. Most of our understanding of H. werneckii biology comes from genomic analyses, the usage of drugs to target a particular pathway, or the heterologous expression of its genes in S. cerevisiae. Nonetheless, H. werneckii has remained genetically intractable. Here, we report on two strategies to transform H. werneckii: ectopic integration of a plasmid and gene deletion using CRISPR/Cas9. These approaches will be fundamental to expanding the experimental techniques available to study H. werneckii, including live-cell imaging of cellular processes and reverse genetic approaches.

Normalization Strategies for Lipidome Data in Cell Line Panels

ABSTRACTSample collection can significantly affect lipid concentration measurements in cell line panels, concealing intrinsic differences between cancer subtypes. Most quality control steps in lipidomic data analysis focus on controlling technical variation. Correcting for the total amount of biological material remains an additional challenge for cell line panels. Here, we investigated how we can normalize lipidomic data acquired from multiple cell lines to correct for differences in sample biomass. We studied how commonly used data normalization and transformation strategies influence the resulting lipid data distributions. We compared normalization by biological properties including cell count and total protein concentration, to statistical and data‐based approaches, such as median, mean, or probabilistic quotient‐based normalization. We used intraclass correlations to estimate how normalization influenced the similarity between replicates. Normalizing lipidomic data by cell count improved the similarity between replicates but only for cell lines with similar morphologies. When comparing cell line panels with diverse morphologies neither cell count nor protein concentration was sufficient to increase the similarity of lipid abundances between cell line replicates. Data‐based normalizations increased these similarities but resulted in a bias towards the large and variable lipid class of triglycerides. These artifacts are reduced by normalizing for the abundance of only structural lipids. We conclude that there is a delicate balance between improving the similarity between replicates and avoiding artifacts in lipidomic data and emphasize the importance of an appropriate normalization strategy in studying biological phenomena using lipidomics.

Transforming performance: how agility, response, resilience and support shape success in digital strategies

PurposeEvolving business landscapes have highlighted the crucial role of innovative digital transformation strategies (DTSs) in reimagining organisational operations and responses to optimise performance, regardless of organisational size or employee composition. The study suggests that DTS is a process that occurs continuously, rather than being a one-time event. It also underscores the critical role of personal resilience and organisational support in achieving job performance goals.Design/methodology/approachUsing a survey analysis, this study examines the impact of organisational response and agility, as fundamental components of DTS, on employees' job performance. In addition, it investigates how boundary conditions of personal resilience and organisational support moderates the relationship between (1) organisational agility and job performance, and (2) organisational response and job performance.FindingsThe research findings demonstrate the impact of DTS on job performance. It highlights the mediating roles of organisational support and agility in improving employees' performance. The study also discusses the critical role of personal resilience and organisational support in navigating the insightful impacts of organisational agility and organisational response on the job performance.Originality/valueThis paper presents a theoretical framework that integrates the dynamic capabilities of employees and organisations, providing academics and practitioners with a comprehensive perspective on the growth of employees' dynamic capabilities. By offering insightful discussions, the study highlights that, while creating new DTS, organisations not only improve their dynamic capabilities but also enhances the people’s dynamic capabilities and make them more resilient.

How Digitalization and Its Context Affect the Urban–Rural Income Gap: A Configurational Analysis Based on 274 Prefecture-Level Administrative Regions in China

Digitalization offers an opportunity to narrow the economic gap between urban and rural areas; however, there are fragmented and competing explanations regarding its impact mechanisms. Responding to calls for research on the complex effects of digitalization, this paper, based on a contextual perspective and configurational theory, analyzes the impact of digitalization conditions embedded in contexts on the urban–rural income gap. The study, based on a sample of 274 prefecture-level administrative regions in China from 2014 to 2021, employs a Panel Fuzzy-Set Qualitative Comparative Analysis (Panel fsQCA) and Necessary Condition Analysis (NCA). The combined application of necessity analysis and sufficiency analysis reveals that certain digitalization conditions—such as digital infrastructure, digital industry, and digital finance—have a universal influence on the urban–rural income gap. Importantly, the sufficiency analysis demonstrates that the impact mechanisms of digitalization conditions exhibit configurational effects, varying with changes in contextual and conditional combinations. The models that significantly narrow the urban–rural income gap include (1) the “infrastructure–finance–governance” model, (2) the comprehensive digital transformation model, (3) the “technology–infrastructure–industry” model, and (4) the digital infrastructure transformation model. Among these, the comprehensive digital transformation model is the most universally effective. These configurations reflect the logic of completeness and substitutability and exhibit specific dynamic evolutionary trends and spatial distribution characteristics. These findings provide contextual and adaptable empirical insights for economies, including China, to implement targeted digital transformation strategies that effectively narrow the urban–rural income gap. For instance, economies can focus on developing comprehensive digital transformation in prosperous and open regions to reduce income gap.

Digital Higher Education and Adult Education in Greece and Other Balkan Countries

Digital innovation has paved the way for new educational opportunities and enhanced lifelong learning in Greece and other Balkan countries, aiming to bolster digital literacy and competencies. There is a discrepancy between developed countries, which seamlessly integrate technological advancements, and developing countries, which face unique challenges. This article examines the state-of-the-art in higher digital education and adult continuing education in Greece and the Balkans, identifying key factors contributing to digital gaps and suggesting strategies for successful digital transformations. Significant progress has been made through EU-funded programs and national initiatives like the Digital Transformation Strategy and the National Digital Policy in Greece. It has enhanced digital literacy and online education in the country. Nevertheless, there are still challenges such as insufficient lifelong learning strategies and digital skills development. Other Balkan countries, on the other hand, face similar issues, with varying degrees of success in adopting digital technologies. This review underlines the need for comprehensive, inclusive policies and investments to bridge digital divides and ensure sustainable digital education across the Balkans.

Transforming CO2 into advanced 3D printed carbon nanocomposites

The conversion of CO2 emissions into valuable 3D printed carbon-based materials offers a transformative strategy for climate mitigation and resource utilization. Here, we 3D print carbon nanocomposites from CO2 using an integrated system that electrochemically converts CO2 into CO, followed by a thermocatalytic process that synthesizes carbon nanotubes (CNTs) which are then 3D printed into high-density carbon nanocomposites. A 200 cm2 electrolyzer stack is integrated with a thermochemical reactor for more than 45 h of operation, cumulatively synthesizing 37 grams of CNTs from CO2. A techno-economic analysis indicates a 90% cost reduction in CNT production on an industrial scale compared to current benchmarks, underscoring the commercial viability of the system. A 3D printing process is developed that achieves a high nanocomposite CNT concentration (38 wt%) while enhancing composite structural attributes via CNT alignment. With the rapidly rising demand for carbon nanocomposites, this CO2-to-nanocomposite process can make a substantial impact on global carbon emission reduction efforts.

АЛГОРИТМ ФОРМИРОВАНИЯ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ ЭКОНОМИКИ РЕГИОНА

The article contains a list of stages for forming a strategy of digital transformation of the regional economy. A detailed de-scription of each stage is given. The paper demonstrates that digital transformation of the regional economy may be unnecessary in some situations. It is demonstrated that the optimal model for setting up a digital infrastructure for digital transformation of the regional economy is a public-private partnership. Recommendations are formu-lated for organization of cooperation be-tween the region and the private operator of digital infrastructure.

CNN based multi-label image classification for presentation recommender system

Recommender systems are super popular nowadays for giving personalized recommendations to users. The paper focuses on a special type of recommender system aimed to advise an improvement of a user’s presentation based on slides classification. Classification is a fundamental task in information extraction and retrieval with a goal to assign given resource to a predefined class. In some cases, as in slides’ categorization, resources can belong to multiple classes, leading to a multi-labelled classification problem. Two different approaches for solving a multi-labelled image classification problem for the purpose of a presentation recommender system are suggested and evaluated in the paper. They are based on problem transformation and algorithm adaptation strategies and utilize a convolutional neural network for model training.

Enhancing digital transformation strategies: a framework for SITA

This article seeks to analyse the impact of systemic hurdles, organisational inertia, and technology limitations on the digital transformation initiatives of the State Information Technology Agency (SITA) in South Africa. The study aims to present a comprehensive framework to improve SITA's digital transformation strategy by tackling these obstacles. This article aims to identify key areas including policy restructuring, capacity building, and the adoption of modern technologies such as cloud computing, big data, and the Internet of Things (IoT). We utilised a mixed qualitative-analytical approach for data collecting and processing. Primary data were collected via semi-structured interviews with SITA personnel, while secondary data were sourced from official SITA papers, such as annual reports and strategy plans. Thematic analysis was employed to discern reoccurring patterns and themes. An analysis was conducted on a dataset of SITA's digital activities spanning from 2012 to 2021. The study's principal findings indicate that (i) systemic obstacles, including antiquated infrastructure and reluctance to change, substantially hinder digital transformation, (ii) effective security protocols and strategic alliances are crucial for surmounting these obstacles, and (iii) the establishment of a comprehensive framework encompassing capacity building and the integration of advanced technologies can significantly bolster SITA's digital transformation initiatives, thereby enhancing. Nonetheless, the study possesses drawbacks, notably its dependence on qualitative data, which may not encompass the entirety of challenges encountered by SITA. Subsequent study ought to adopt a mixed methodologies approach to facilitate a more thorough analysis. Notwithstanding these constraints, the report provides significant insights and pragmatic recommendations for policymakers and practitioners engaged in digital transformation programs at SITA.

From crisis to opportunity: enhancing anatomy education in a post-COVID world: the Universiti Sains Malaysia experience.

The coronavirus disease 2019 pandemic has fundamentally reshaped anatomy education, offering invaluable insights to guide the future of anatomy pedagogy. As we transition into a post-pandemic era, it is crucial to integrate the lessons learned to create a more resilient, flexible, and effective educational environment. This paper examines the transformative strategies implemented at Universiti Sains Malaysia during the pandemic, focusing on the empowerment of blended learning, technology-enhanced tools, student-centered learning practical sessions, and enhancement of formative assessment. These strategies include integrating digital learning resources, such as the Virtual Anatomy Museum and online histology quizzes, with in-person instruction, fostering a supportive and interactive learning environment. Additionally, practical sessions were redesigned to emphasize collaborative learning, peer teaching, and developing critical thinking and communication skills. Formative assessments were integrated to provide continuous feedback and support ongoing learning. This comprehensive approach not only enhanced students' understanding of anatomical concepts but also improved their emotional well-being and overall learning experience. The lessons learned from the pandemic have paved the way for a more innovative and adaptive anatomy education that is well-prepared for future challenges.

A gradient-enhanced univariate dimension reduction method for uncertainty propagation

The univariate dimension reduction (UDR) method stands as a way to estimate the statistical moments of the output that is effective in a large class of uncertainty quantification (UQ) problems. UDR's fundamental strategy is to approximate the original function using univariate functions so that the UQ cost only scales linearly with the dimension of the problem. Nonetheless, UDR's effectiveness can diminish when uncertain inputs have high variance, particularly when assessing the output's second and higher-order statistical moments. This paper proposes a new method, gradient-enhanced univariate dimension reduction (GUDR), that enhances the accuracy of UDR by incorporating univariate gradient function terms into the UDR approximation function. Theoretical results indicate that the GUDR approximation is expected to be one order more accurate than UDR in approximating the original function, and it is expected to generate more accurate results in computing the output's second and higher-order statistical moments. Our proposed method uses a computational graph transformation strategy to efficiently evaluate the GUDR approximation function on tensor-grid quadrature inputs, and use the tensor-grid input-output data to compute the statistical moments of the output. With an efficient automatic differentiation method to compute the gradients, our method preserves UDR's linear scaling of computation time with problem dimension. Numerical results show that the GUDR is more accurate than UDR in estimating the standard deviation of the output and has a performance comparable to the method of moments using a third-order Taylor series expansion.

Practices, Challenges, and Future of Digital Transformation in Smallholder Agriculture: Insights from a Literature Review

Smallholder farmers play a crucial role in global agricultural development. The digital transformation of smallholder agriculture can enhance productivity, increase farmers’ income, ensure food security, and promote sustainable rural development. However, existing studies often fail to analyze the holistic nature of this transformation and lack a systematic review of the relevant literature. Therefore, this study aims to provide a comprehensive presentation of the current studies on the digital transformation of smallholder agriculture through logical synthesis and reflective summarization, thereby offering valuable academic insights and practical guidance for the digital transformation of smallholder farming. This study constructs an analytical framework centered on “government–technology–smallholders” using a literature review methodology, systematically examining the main practices, challenges, and future strategies for the digital transformation of smallholder agriculture. Our review reveals that current practices primarily focus on digital agricultural production, rural e-commerce, and agricultural information exchange. We identify key challenges at the government, technical, and smallholder levels, including inadequate digital agriculture policies, limited availability of digital applications, difficulties in adapting uniform technologies to the diverse contexts of smallholders, insufficient resources and endowment among smallholder farmers, significant group disparities, and constraints imposed by social and cultural factors. To enhance the digital transformation of smallholder agriculture, it is essential to improve the supply of policy resources, increase attention to and responsiveness toward smallholder needs, and refine digital governance policies. Additionally, we must develop user-friendly digital applications that cater to the varied digital needs of farmers, reduce access costs, enhance digital literacy, foster an inclusive environment for digital agricultural development, and respect and integrate the social and cultural contexts of smallholder communities. This study deepens the understanding of digital transformation in smallholder agriculture and provides theoretical insights and practical guidance for policymakers, technology developers, and smallholder communities. It contributes to sustainable agricultural development and supports rural revitalization and shared prosperity.

Digital transformation strategies in the financial services sector

The main objective of this research is to conduct a thorough analysis of the digital transformation tactics employed in the specific subsector of the financial services industry that has been selected for study. The objective of this study is to provide a comprehensive analysis of the distinct problems, opportunities, and repercussions that are linked to the process of digital transformation within this particular subsector. Through this endeavor, this research provides a valuable contribution to the existing body of knowledge in this particular domain, thereby enabling industry leaders, policymakers, and other relevant stakeholders to make more well-informed decisions., a mixed-methods research design was used in this study. This technique integrates qualitative and quantitative methodologies to offer a holistic comprehension of digital transformation initiatives within a specific subsector of the financial services industry. The results of this research underscore the significance of digital transformation initiatives in improving consumer experiences, meeting regulatory requirements, and capitalizing on technical progress. The obstacles that have been identified, such as the need to comply with regulations and address cybersecurity issues, highlight the intricate environment that financial institutions must navigate. Furthermore, the acknowledgment of customer-centric approaches and the significance of data analytics and personalization validate the industry's ability to adjust to client preferences and competitive dynamics.

Identifying Practical Material Retrofit Measures for Energy Efficiency in Existing High-Rise Buildings in the Malaysian Climate

With the global focus on sustainable urban development, many cities are striving to formulate effective urban transformation strategies to transition from traditional urban structures to more sustainable ones. Enhancing the energy efficiency of buildings, particularly existing structures, is recognized as a crucial element in the fight against climate change. In the Malaysian context, improvements in energy consumption are predominantly propelled by retrofitting the country's existing building stock. However, targeted strategies are needed, especially for high-rise buildings, to address the unique challenges posed by the Malaysian climate. This study addresses this gap by focusing on retrofitting strategies specifically tailored for existing high-rise buildings in Malaysia. To evaluate energy efficiency accurately, a selected case study underwent modeling and simulation using Building Information Modeling (BIM) software for energy analysis. The simulation considered crucial aspects of window materials: U-factor, solar heat gain coefficient, visible transmittance, and emissivity. The study identified triple-glazed windows as the most energy-efficient choice, significantly outperforming single-glazed windows due to their lower U-factor and improved insulation properties. Light concrete bricks for walls demonstrated superior heat resistance owing to their lower density. Steel bar joists were found to enhance heat transfer efficiency in roofs. The recommended materials showed promising results, achieving a calculated energy consumption reduction to 266 kWh/m2/year. The study emphasizes that green consultants prioritize elements addressing excessive energy consumption during building upgrades, influencing their choice of retrofit options. Implementing energy-efficient retrofits can significantly reduce buildings' energy dependence, contributing to a substantial decrease in the country's overall energy consumption.

Customer experiences and coping behaviors during crisis situations: The role of service adaptation and service transformation

Understanding how customers react to changes in service encounters during crisis situations, is extremely valuable for companies. Guided by the four fundamental premises of customer experience (Becker and Jaakkola, 2020) and drawing on the Touchpoints-Context-Qualities (TCQ)-framework (De Keyser et al., 2020) and Stimulus-Organism-Response (S-O-R) Theory (Mehrabian and Russell, 1974), this study aims to better understand (1) the customer experience during a crisis, and (2) how outside versus within firm-controlled touchpoints, (3) contextual factors (here, individual and firm/industry) and (4) a firm’s service adaptation (e.g., firms adapt to regulatory measures) and service transformation (e.g., firms transform their business by exploring new service delivery models) strategies shape customer experiences and coping behaviors. Using social media data (here, tweets) in the context of the COVID-19 pandemic, our qualitative and quantitative findings reveal that (1) customers’ affective responses are not restricted to negative experience (here, fear, anger, sadness, and disgust), but also include positive experiences (here, joy, surprise, acceptance, and anticipation), (2) the government as third-party affects the customer experience, (3) service adaptions and service transformations evoke different affective responses, and (4) both positive and negative experiences influence customers’ coping behaviors, but positive experiences exert a greater influence on the inward coping behaviors (here, active coping, planning, and positive reinterpretation), while negative experiences exert a greater influence on the outward coping behaviors (here, seeking social support for instrumental reasons, and venting). Our findings have implications for managers and public policy makers that want to manage the customer experience during crisis situations.

Analisis Pengaruh Transformasi Digital pada Inovasi Strategi Pemasaran Perguruan Tinggi Swasta (PTS)

Background: Digital transformation in Private Higher Education Institutions (PTS) has become an important factor in increasing marketing strategy innovation, expanding institutional appeal, and strengthening engagement with prospective students. Objective: This study aims to explore the factors that drive and inhibit the implementation of digital transformation in PTS and analyze its impact on innovation in marketing strategies. Method: The method used in this study is a systematic literature review, by analyzing relevant studies from various national journals published between 2018 and 2024. Results: The research findings show that digital transformation not only optimizes marketing strategies but also increases communication effectiveness and brand awareness through digital platforms. This study also describes the positive impact of digital transformation on increasing engagement, operational efficiency, and competitiveness of PTS. Conclusion: A conceptual framework is developed to help PTS plan and implement digital transformation strategies effectively, along with practical recommendations to overcome integration barriers. This study provides new insights and practical solutions for PTS to leverage digital transformation for greater marketing effectiveness, as well as contributing to the academic literature and guidance for practitioners and policy makers in the field of higher education.Keywords: Digital Transformation, Marketing Strategy Innovation, Private Universities.