Extensive Process Research Articles

Utilizing protein nanofibrils as a scaffold for enhancing nutritional value in toned milk

Toned milk is a lower-fat, healthier alternative to whole milk that still contains all essential nutrients. A number of methods have been developed to improve the functionality of toned milk and make it more appealing to the consumers. However, these methods often involve extensive processing techniques and can be expensive. Therefore, alternative methods are needed. Proteins are well known for their ability to form well-defined nanofibril materials that can be used as a scaffold for various applications. In this article, a straightforward self-assembly process was used to load inulin into protein nanofibrils, creating unique composite nanofibrils. Characterization using AFM and SEM revealed well-defined composite nanofibrils with an average diameter of 4–6 nm and lengths ranging from 0.25 μm up to 10 μm. FT-IR and in-vitro release assays show that inulin was successfully attached to prepared protein nanofibrils. The composite nanofibrils were tested on toned milk to enhance the physico/chemical properties and nutritional values. The findings can be applied to the food industry to create a number of novel functional food products cost-effectively.

Crosstalk between the tRNA methyltransferase Trm1 and RNA chaperone La influences eukaryotic tRNA maturation

tRNAs undergo an extensive maturation process involving posttranscriptional modifications often associated with tRNA structural stability and promoting the native fold. Impaired posttranscriptional modification has been linked to human disease, likely through defects in translation, mitochondrial function, and increased susceptibility to degradation by various tRNA decay pathways. More recently, evidence has emerged that bacterial tRNA modification enzymes can act as tRNA chaperones to guide tRNA folding in a manner independent from catalytic activity. Here, we provide evidence that the fission yeast tRNA methyltransferase Trm1, which dimethylates nuclear- and mitochondrial-encoded tRNAs at G26, can also promote tRNA functionality in the absence of catalysis. We show that WT and catalytic-dead Trm1 are active in an invivo tRNA-mediated suppression assay and possess RNA strand annealing and dissociation activity invitro, similar to previously characterized RNA chaperones. Trm1 and the RNA chaperone La have previously been proposed to function synergistically in promoting tRNA maturation, yet we surprisingly demonstrate that La binding to nascent pre-tRNAs decreases Trm1 tRNA dimethylation invivo and invitro. Collectively, these results support the hypothesis for tRNA modification enzymes that combine catalytic and noncatalytic activities to promote tRNA maturation, as well as expand our understanding of how La function can influence tRNA modification.

Enhancing Wearable Gait Monitoring Systems: Identifying Optimal Kinematic Inputs in Typical Adolescents.

Machine learning-based gait systems facilitate the real-time control of gait assistive technologies in neurological conditions. Improving such systems needs the identification of kinematic signals from inertial measurement unit wearables (IMUs) that are robust across different walking conditions without extensive data processing. We quantify changes in two kinematic signals, acceleration and angular velocity, from IMUs worn on the frontal plane of bilateral shanks and thighs in 30 adolescents (8-18 years) on a treadmills and outdoor overground walking at three different speeds (self-selected, slow, and fast). Primary curve-based analyses included similarity analyses such as cosine, Euclidean distance, Poincare analysis, and a newly defined bilateral symmetry dissimilarity test (BSDT). Analysis indicated that superior-inferior shank acceleration (SI shank Acc) and medial-lateral shank angular velocity (ML shank AV) demonstrated no differences to the control signal in BSDT, indicating the least variability across the different walking conditions. Both SI shank Acc and ML shank AV were also robust in Poincare analysis. Secondary parameter-based similarity analyses with conventional spatiotemporal gait parameters were also performed. This normative dataset of walking reports raw signal kinematics that demonstrate the least to most variability in switching between treadmill and outdoor walking to help guide future machine learning models to assist gait in pediatric neurological conditions.

Optimal log floor patterns

Multi-storey timber constructions predominantly employ engineered wood products as their primary materials. However, these materials undergo extensive processing, including cutting, grading, sorting, planing, and gluing, significantly increasing their cost and environmental impact. An alternative approach to promote the use of timber in construction is to use logs for columns, beams, and floors in buildings, taking advantage of the significant advancements in parametric design and robotics. Nevertheless, it presents specific challenges, such as developing appropriate designs for log connections and establishing protocols for their mechanical characterisation, which are beyond the scope of this research.The main focus of this article is to conduct a comparative examination of various layout patterns for log floors, aiming to minimise wood consumption and floor thickness. To obtain generalisable conclusions independent of parameters such as wood strength, loads or floor dimensions, an original optimisation method has been developed, inspired by morphological indicators. This article demonstrates that the conventional approach of using parallel joists along the shorter span may not always be advantageous. Instead, it highlights cost-effective solutions that enhance the value of smaller-diameter and shorter logs.

A concept analysis of cultural competence in nursing: A hybrid model approach.

Cultural competence is considered one of the criteria for high-quality nursing care. This study aimed to analyse cultural competence in nursing. This study was performed using the hybrid concept analysis approach in three phases. In the theoretical phase, literature was reviewed by searching Persian and English language databases, and 94 articles were included. In the second or fieldwork phase, 11 semi-structured interviews were conducted with purposefully selected nurses. The results of both theoretical and fieldwork phases were analysed using conventional content analysis, and in the final analysis phase, the results of the previous phases were triangulated. The attributes of cultural competence were obtained in the theoretical phase in six and the fieldwork phase in three categories. In the final phase, the categories obtained in both previous phases were triangulated: cultural competence in nursing is a continuous, developmental, flexible, extensive and complex process that is patient- and justice-oriented and emerges through learning and skills acquisition, including cultural knowledge, attitudes and practices. Managers and planners of nursing education can use the results of this study to educate nursing students and nurses and evaluate outcomes as one of the criteria for quality care.

Identification of m6A suppressor EIF4A3 as a novel cancer prognostic and immunotherapy biomarker through bladder cancer clinical data validation and pan-cancer analysis

EIF4A3 represents a novel m6A suppressor that exerts control over the global m6A mRNA modification level, therefore influencing gene destiny. Despite increasing evidence that highlights a pivotal role of EIF4A3 in tumor progression and immunity, a comprehensive pan-cancer analysis of EIF4A3 has yet to be conducted, in order to ascertain whether EIF4A3 could be a viable biomarker for cancer screening, prediction of prognosis, and to facilitate accurate therapy design in various human malignancies. We analyzed the expression levels of EIF4A3 in bladder cancer compared to para-cancer tissue. Subsequently survival analysis was conducted to ascertain the potential association between EIF4A3 expression and patient prognosis. To further corroborate this evidence, we conducted an extensive data mining process of several publicly available databases, including UCSC Xena database, TCGA, and GTEx. Raw data from the UCSC Xena database was processed using online tools to obtain results that could be subjected to further analysis. Our study unveiled a considerable increase in the expression levels of EIF4A3 in bladder cancer compared to para-cancer tissue. Subsequent validation experiments confirmed that bladder cancer patients exhibiting higher levels of EIF4A3 expression have significantly worse prognostic outcomes. Next, our pan-cancer analysis found that the expression level of EIF4A3 is significantly higher in most cancers. Notably, high expression levels of EIF4A3 were negatively associated with patient prognosis across various cancer types. Furthermore, as a novel m6A suppressor, EIF4A3 was found to be correlated with numerous RNA modification genes in multiple cancer types. Meanwhile, analysis of publicly available databases revealed that EIF4A3 expression was significantly related to immune score and immune cell levels in most cancer types. Interestingly, EIF4A3 was also identified as a superior immunotherapy biomarker when compared to several traditional immunotherapy biomarkers. Lastly, genetic alterations analysis revealed that amplification was the most frequently occurring abnormality in the EIF4A3 gene. EIF4A3 emerges as a promising biomarker with the potential to significantly enhance tumor screening, prognostic evaluation, and the design of individualized treatment strategies across a diverse array of malignancies.

Draft genome sequences of a historical collection of Listeria monocytogenes from humans and other sources, 1926-1964.

Listeria monocytogenes can persistently contaminate food processing environments and tolerate sanitizers. Most sequenced strains are from clinical and environmental sources in the contemporary era, with relatively few prior to extensive food processing and sanitizer use. We report the genome sequences of a diverse panel of 83 strains from 1926 to 1964.

SIKAP DAN PARTISIPASI PETANI DALAM KEGIATAN PENYULUHAN PADI SAWAH DI KELURAHAN LABIBIA KOTA KENDARI

Agricultural extension has been instrumental in developing agriculture by enhancing the quality of agricultural human resources. This study was conducted on 112 rice paddy farmers in the village of Labibia in December 2022, using simple random sampling. The research sample consisted of 28 farmers from Labibia village. This study examines the variables of extension agents' attitudes, including extension methods, techniques, materials, and media, as well as farmers' participation in activity planning, implementation, and monitoring and evaluation. The logical structure and causal connections between statements are maintained, and the text is free from grammatical errors, spelling mistakes, and punctuation errors. This study examines the variables of extension agents' attitudes, including extension methods, techniques, materials, and media, as well as farmers' participation in activity planning, implementation, and monitoring and evaluation. The text adheres to conventional structure and formatting, including consistent citation and footnote style. No changes in content were made. The data analysis utilized descriptive and rank Spearman correlation analyses. The language used is clear, concise, and objective, with a formal register and precise word choice. The study revealed that farmers in the village of Labibia rated the implementation of agricultural extension activities as 'medium' across four indicators: extension methods, techniques, materials, and media used by extension workers. This means that the implementation of extension activities still needs improvement in four indicators to ensure that farmers can fully benefit from the extension process. In Labibia village, farmers' participation in agricultural extension activities falls under the medium category. The three indicators are activity planning, activity implementation, and monitoring and evaluation of agricultural extension activities. In implementing extension activities, it is necessary to ensure participation between farmers and agricultural extension workers to achieve the planned goal of farmer independence. The attitude and participation of farmers in agricultural extension activities have a strong, unidirectional relationship. This means that the higher the farmers' attitude, the higher their participation in extension activities.

Dynamic modeling and analysis of two-span rotor-pedestal system with bearing tilt and extended defect: Simulation and experiment

When the rolling bearing raceway is tilted, the contact load of the raceway increases, which may greatly increase the occurrence of raceway defects. However, the evolution law of the raceway defect extension process on the system dynamic characteristics is not clear when the bearing is tilted. In this paper, considering the influence of rough surface caused by the extension of bearing defects, a mathematical model of raceway extension defects which is more consistent with the actual morphology is proposed. The model can be used to evaluate the damage degree of the bearing raceway of rotating machinery. Taking the two-span rotor-bearing-pedestal system of the test rig as the research object, a nonlinear dynamic model of the system is established considering the nonlinear supporting force of bearings and pedestal, shaft coupling looseness and other nonlinear factors. The effectiveness of the bearing fault characterization model and the system dynamics model is verified by experiments. On this basis, the influence of tilt on bearing fault and the change rule of raceway defect extension on bearing contact characteristics and system dynamic characteristics are discussed. The results indicate that raceway tilt aggravates system vibration caused by the bearing defect. With the increase of the defect range, the impact vibration characteristics weaken, and the roughness of the raceway surface in the defect area has a great influence. However, with the increase of defect depth, the influence law is just the opposite. The research results are expected to provide theoretical support for bearing fault diagnosis of rotating machinery systems.

U SMART ZONE – Creating highly realistic virtual environment for vehicle-in-the-loop simulations

Developing Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) based on machine learning is generally an extensive and costly process. Due to the increasing complexity of autonomous systems, the need for extensive testing and validation arises. In recent years, computer simulation has been used for these purposes. Performing realistic simulations, especially for the purpose of computer vision-based systems, requires a high-quality, almost photorealistic virtual environment. This paper introduces U SMART ZONE, a high-fidelity virtual model of the Severní Terasa district in Ústí nad Labem, Czech Republic comprising of more than 7.5 km of drivable roads with a total area of approximately 1.4 km2 for human-in-the-loop and hardware-in-the-loop (HiL) simulations.

Magnetophoretic force and homogeneity optimization in multiplexed magnetic tweezers for microrheometry applications

In order to generate homogeneous magnetophoretic forces, current magnetic tweezer devices operate placing electromagnetic inductors far enough from the sample. Consequently, high-power supplies are needed to reach sufficiently large forces. We demonstrate that both magnetophoretic force magnitude and homogeneity can be increased at will in this kind of devices by simply placing appropriate magnetic materials between the inductors and the sample. Choice of these material shape and location is made upon an extensive optimization process performed with finite element method simulations. Optimal configuration is shown to create large and homogeneous magnetophoretic forces over areas extensive enough to perform multiplexed microrheology tests with different values of force and pulse duration. A good correspondence is obtained between the experiment and the results from the simulations.

Measuring Māori Health, Wellbeing, and Disability in Aotearoa Using a Web-Based Survey Methodology.

High-quality evidence on the prevalence and impact of health, wellbeing, and disability among Māori, and other Indigenous peoples, is crucial for mitigating health inequities. Current surveys are predominantly centred within a biomedical paradigm, with the constructs mismatched with Indigenous worldviews. We aimed to develop and deploy an accessible and culturally grounded survey exploring Māori health, wellbeing, and disability using a Kaupapa Māori Research methodology. An extensive codesign process with Māori community partners interrogated all aspects of the design to ensure the process and outcomes met the needs of Māori. A large-scale, nationally representative survey of people of Māori descent was conducted. We used a multi-modal deployment approach that included online and alternate methods of completion. Our analysis included a novel dual-weighting system to ensure generalisability of results to the national Māori population. This achieved a survey of 7230 participants, a sample size comparable with government-administered surveys. The response rate was 11.1%, with 7.3% opting for alternate methods. A high completion rate of 93.4% was observed. This approach demonstrated a high level of engagement, resulting in an unprecedented collection of Māori health, wellbeing, and disability data. This highlights the importance of Indigenous codesign for ensuring accessible and culturally appropriate survey methods.

From Hype to Reality: Navigating the Challenges of RPA Implementation

The term Robotic Process Automation (RPA) was first utilised in 2012 (Hindle, 2018). The term began to gain traction in 2014 when businesses started to announce major savings because of automation. In early 2016, RPA back office automation became more significant but during this period it was still relatively limited (Willcocks & Lacity, 2016). From 2016 to 2017 the global RPA market increased by 64% (Fersht, 2017). They also reported a 42% increase in the global market for RPA between 2017 and 2018 and an anticipated increase of a further 94% between 2018 and 2021 (Fersht, 2017). The demand for RPA has increased using AI and software robots are expected to be the key drivers of growth. RPA continues to gather prominence throughout Europe as companies are eager to improve customer experience and to offer a streamlined service particularly for the financial services industry (Information Services Group, Inc., 2018). The key objective is to improve organizational performance and the customers’ experience using an RPA solution. The RPA solution will enable the organization to provide around the clock robot assistance to the client, enhancing effectiveness and efficiency of the compliance process, faster return on investment (ROI), reduced processing time as well as helping to meet deadlines, improved quality with reduced human errors (Pattfaut and Borghoff, 2022). However, RPA is an extensive process and requires expertise in this space, structured input, and governance to achieve optimal implementation. The research objective of this investigation therefore is to explore methods for automating business processes while reducing operating costs and improving efficiency. In doing so, three research questions are presented: 1) What are the key phases in an RPA implementation?: 2) What activities are involved in each of the phases?; and 3) What should be the focus of each of these activities?

Developing a National Research and Evidence Base for the Health and Wellbeing Chapter of the Welsh Government’s 2023 Innovation Strategy for Wales.

This paper presents research informing the Welsh Government’s (WG) Health and Wellbeing chapter of the new Innovation Strategy for Wales (ISW). WG recognises the need for a cross portfolio Innovation Strategy to bring greater coherence and alignment to our existing Welsh health and social care innovation ecosystem, particularly in a post EU environment. This approach aims to support greater collaboration between healthcare, industry, academia and the third sector to deliver greater impact and value (Davies et al, 2021) by developing, sharing and adopting innovative practice, leadership and skills development and supporting new technology development (WG, 2018). As part of the development process, key stakeholders were identified as part of an innovation ‘push’ and innovation ‘pull’ nexus (Chesbrough, 2003) approach. Organisations were categorised into domains of health and social care providers, innovation infrastructure, technology platforms, innovation centres, and partnerships across Wales’s health and life sciences ecosystem. A qualitative, action research led approach was used to derive the key themes supporting development of the ISW health chapter. Multi-sector consultations were conducted with experts from various fields, including health, social, care, research, and technology. Our analysis of qualitative data collected through an extensive consultation process led to the emergence of areas of prioritisation for the ISW. Three areas of prioritisation were identified in the analysis: Creating coherency across the innovation ecosystem, where every partner understands their role. Focusing innovation activity on NHS Wales organisational needs/priorities, generating ‘Innovation Pull’. Creating an ‘adoption ready’ pipeline of innovation externally into health and social care at scale, creating an ‘Innovation Push’ offer. The ISW aims to create the optimal conditions for an innovation ecosystem underpinned by clear infrastructure and a robust policy framework, which has the full support from health and social care leadership, to create a culture of innovation at all levels of the health and social care system. The ISW was launched on 27th February 2023, with full political support from the Welsh Government Cabinet; a majority Labour party government supported by the Plaid Cymru party, as part of the Welsh Government’s 2021 election cooperation agreement.

Spleen SORT LNP Generated in situ CAR T Cells Extend Survival in a Mouse Model of Lymphoreplete B Cell Lymphoma.

Chimeric Antigen Receptor (CAR) T cell immunotherapy is revolutionizing treatment for patients suffering from B-cell lymphoma (BL). However, the current method of CAR T cell production is complicated and expensive, requiring collection of patient blood to enrich the T cell population, ex vivo engineering/activation, and quality assessment before the patient can receive the treatment. Herein we leverage Spleen Selective ORgan Targeted (SORT) Lipid Nanoparticles (LNPs) to produce CAR T cells in situ and bypass the extensive and laborious process currently used. Optimized Spleen SORT LNPs containing 10 % 18 : 1 PA transfected CD3+, CD8+, and CD4+ T cells in wild-type mice. Spleen SORT LNPs delivered Cre recombinase mRNA and CAR encoding mRNA to T cells in reporter mice and in a lymphoreplete B cell lymphoma model (respectively) after intravenous injection without the need for active targeting ligands. Moreover, in situ CAR T cells increased the overall survival of mice with a less aggressive form of B cell lymphoma. In addition, in situ transfected CAR T cells reduced tumor metastasis to the liver by increasing tumor infiltrating lymphocytes. Overall, these results offer a promising alternative method for CAR T cell production with pre-clinical potential to treat hematological malignancies.

Spleen SORT LNP Generated in situ CAR T Cells Extend Survival in a Mouse Model of Lymphoreplete B Cell Lymphoma

AbstractChimeric Antigen Receptor (CAR) T cell immunotherapy is revolutionizing treatment for patients suffering from B‐cell lymphoma (BL). However, the current method of CAR T cell production is complicated and expensive, requiring collection of patient blood to enrich the T cell population, ex vivo engineering/activation, and quality assessment before the patient can receive the treatment. Herein we leverage Spleen Selective ORgan Targeted (SORT) Lipid Nanoparticles (LNPs) to produce CAR T cells in situ and bypass the extensive and laborious process currently used. Optimized Spleen SORT LNPs containing 10 % 18 : 1 PA transfected CD3+, CD8+, and CD4+ T cells in wild‐type mice. Spleen SORT LNPs delivered Cre recombinase mRNA and CAR encoding mRNA to T cells in reporter mice and in a lymphoreplete B cell lymphoma model (respectively) after intravenous injection without the need for active targeting ligands. Moreover, in situ CAR T cells increased the overall survival of mice with a less aggressive form of B cell lymphoma. In addition, in situ transfected CAR T cells reduced tumor metastasis to the liver by increasing tumor infiltrating lymphocytes. Overall, these results offer a promising alternative method for CAR T cell production with pre‐clinical potential to treat hematological malignancies.

Wide field-of-view fluorescence imaging for organ-level lineage tracing of rare intestinal stem cell populations.

Lineage tracing using fluorescent reporters is a common tool for monitoring the expression of genes and transcription factors in stem cell populations and their progeny. The zinc-binding protein 89 (ZBP-89/Zfp148 mouse gene) is a transcription factor that plays a role in gastrointestinal (GI) stem cell maintenance and cellular differentiation and has been linked to the progression of colon cancer. While lineage tracing is a useful tool, it is commonly performed with high-magnification microscopy on a small field of view within tissue sections, thereby limiting the ability to resolve reporter expression at the organ level. Furthermore, this technique requires extensive tissue processing, which is time consuming and requires euthanizing the animal. Further knowledge could be elucidated by measuring the expression of fluorescent reporters across entire organs with minimal tissue processing. We present the application of wide-field fluorescence imaging for whole-organ lineage tracing of an inducible Zfp148-tdTomato-expressing transgenic mouse line to assess the expression of ZBP-89/Zfp148 in the GI tract. We measured tdTomato fluorescence in ex vivo organs at time points between 24h and 6 months post-induction. Fluctuations in tdTomato expression were validated by fluorescence microscopy of tissue sections. Quantification of the wide field-of-view images showed a statistically significant increase in fluorescent signal across the GI tract between transgenic mice and littermate controls. The results also showed a gradient of decreasing reporter expression from proximal to distal intestine, suggesting a higher abundance of ZBP-89 expressing stem cells, or higher expression of ZBP-89 within the stem cells, in the proximal intestine. We demonstrate that wide-field fluorescence imaging is a valuable tool for monitoring whole-organ expression of fluorescent reporters. This technique could potentially be applied in vivo for longitudinal assessment of a single animal, further enhancing our ability to resolve rare stem cell lineages spatially and temporally.

Properties and applications of α-galactosidase in agricultural waste processing and secondary agricultural process industries.

Agriculture products form the foundation building blocks of our daily lives. Although they have been claimed to be renewable resources with a low carbon footprint, the agricultural community is constantly challenged to overcome two post-harvest bottlenecks: first, farm bio-waste, a substantial economic and environmental burden to the farming sector, and second, an inefficient agricultural processing sector, plagued by the need for significant energy input to generate the products. Both these sectors require extensive processing technologies that are demanding in their energy requirements and expensive. To address these issues, an enzyme(s)-based green chemistry is available to break down complex structures into bio-degradable compounds that source alternate energy with valuable by-products and co-products. α-Galactosidase is a widespread class of glycoside hydroxylases that hydrolyzes α-galactosyl moieties in simple and complex oligo and polysaccharides, glycolipids, and glycoproteins. As a result of its growing importance, in this review we discuss the source of the enzyme, production and purification systems, and enzyme properties. We also elaborate on the enzyme's potential in agricultural bio-waste management, secondary agricultural industries like sugar refining, soymilk derivatives, food and confectionery, and animal feed processing. Insight into this vital enzyme will provide new avenues for less expensive green chemistry-based secondary agricultural processing and agricultural sustainability. © 2023 Society of Chemical Industry.

Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students’ Emotions in STEM during Online Learning

In recent years, the rapid growth of online learning has highlighted the need for effective methods to monitor and improve student experiences. Emotions play a crucial role in shaping students’ engagement, motivation, and satisfaction in online learning environments, particularly in complex STEM subjects. In this context, sentiment analysis has emerged as a promising tool to detect and classify emotions expressed in textual and visual forms. This study offers an extensive literature review using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) technique on the role of sentiment analysis in student satisfaction and online learning in STEM subjects. The review analyses the applicability, challenges, and limitations of text- and facial-based sentiment analysis techniques in educational settings by reviewing 57 peer-reviewed research articles out of 236 articles, published between 2015 and 2023, initially identified through a comprehensive search strategy. Through an extensive search and scrutiny process, these articles were selected based on their relevance and contribution to the topic. The review’s findings indicate that sentiment analysis holds significant potential for improving student experiences, encouraging personalised learning, and promoting satisfaction in the online learning environment. Educators and administrators can gain valuable insights into students’ emotions and perceptions by employing computational techniques to analyse and interpret emotions expressed in text and facial expressions. However, the review also identifies several challenges and limitations associated with sentiment analysis in educational settings. These challenges include the need for accurate emotion detection and interpretation, addressing cultural and linguistic variations, ensuring data privacy and ethics, and a reliance on high-quality data sources. Despite these challenges, the review highlights the immense potential of sentiment analysis in transforming online learning experiences in STEM subjects and recommends further research and development in this area.

Time constraints on the geological evolution of the main sedimentary basins and tectono-magmatic events on Livingston Island, South Shetland Archipelago, Antarctica: a review

The Lower Cretaceous to Miocene South Shetlands Islands’ volcanic arc is a result of the subduction of the Phoenix Oceanic Microplate (part of the Pacific Plate) beneath the Antarctic Peninsula. The magmatic activity on Livingston Island has been going on for a long time: since the Early Cretaceous to the present. The evolution of the volcanic arc resulted in the formation of various sedimentary basins and paleoenvironments (turbiditic to shallow marine and continental) that formed varied sedimentary successions and tholeiitic to potassium calc-alkaline subduction-related magmatic rocks. Considering the magmatic activity on Livingston Island, a general trend of rejuvenation can be observed from the WNW (Byers Peninsula) to the ESE (to Hannah Point, Point Williams and further to the Hurd Peninsula and the Tangra Mountain). The rejuvenation of the magmatic rocks in the direction of the thrust plate can be explained as an effect of a flattening subduction that was active from the Early Cretaceous (135 Ma) up to around 90–70 Ma. The mixed ages of the dikes and small intrusions in the Hurd Peninsula are most probably due to periods of rotation and probably beginning of а slab-roll back. A regional Paleocene–Eocene (65–47 Ma) compressional episode that caused a low temperature to high-pressure metamorphism is registered on Smith and Elephant islands. The regional metamorphism was followed by a vast extension between 50–30 Ma that culminated with the opening of the Drake Passage around 34–30 Ma. The magmatic response of that regional scale extension was the intrusion of the Eocene Barnard Point Pluton (46–40 Ma) and dikes with youngest ages of around 30 Ma. The major uplift phase and the exhumation of the Tangra Mountain happened between 22–16 Ma as indicated by the Ap FT thermochronology. The last magmatic event on the island produced the contrastingly different in composition Quaternary alkaline mafic rocks that occupy the area between Innot Point and Burdick Peak. This episode is interpreted as related to a process of crustal extension that culminated in asthenospheric upwelling and rifting along the Bransfield Strait. The latter is due to a slab roll-back that led to the break-up of the South Shetlands from the Antarctic Peninsula and consequent subduction termination.