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This study explores the application of the epoxidation process of poly‐β‐myrcene, a constituent of the natural resin from Chios Mastic trees (Pistacia Lentiscus L.), as an educational instrument for teaching Green Chemistry and Engineering to students at various academic levels. The study provides a comprehensive presentation of foundational knowledge essential for interpreting the subsequent experimental data. Consequently, the production process that leads to the production of Mastic Epoxide (MASTEP) stands as an invaluable pedagogical resource, enabling educators to impart crucial principles of Green Chemistry and Engineering to both pre‐graduate and post‐graduate students. By employing MASTEP as a case study, this educational approach actively involves students in a dynamic learning environment. Through this methodology, learners develop a profound comprehension of sustainability, innovation, and good practices. The integration of the MASTEP concept into the curriculum would foster a deeper understanding of responsible methodologies among aspiring chemical engineers and scientists, equipping them to make substantial contributions towards a more sustainable global landscape. This educational model aims to contribute to preparing future generations for a pivotal role in fostering a sustainable world through their professional endeavors. The epoxidation reaction of natural poly‐β‐myrcene serves as a valuable educational tool for teaching Green Chemistry and Engineering to pregraduate and graduate students. This perspective article bridges theory and practice, empowering green teaching methodology, and invites implementation to provoke statistical evaluation.

Poly-β-myrcene, a polyunsaturated hydrocarbon-type biopolymer contained in natural Chios mastic, a resin secreted by Chios mastic trees (Pistacia lentiscus L.) when wounded, is isolated from this gum and epoxidized with peracetic acid formed in-situ. The reaction product (epoxidized poly-beta-myrcene) is a sustainable self-curing epoxy polymer capable of serving as an adhesive or matrix for green composites. The parameters affecting the rate of this acid-catalyzed reaction (temperature, time, stirring rate, hydrogen peroxide concentration, acetic acid concentration, and catalyst type and concentration) are studied and the most favorable conditions are determined. Kinetic studies are then carried out to calculate reaction rate constants of the order of 10–6 L mol−1 s−1, for temperatures in the range of 35–55 °C, and activation energy of 59.22 kJ/mol. The thermodynamic parameters of activation enthalpy, entropy, and free energy, at 25 °C, were found equal to 13.56 kcal/mol, −41.10 cal/(mol K), and 12.22 kcal/mol, respectively. These findings lead to the optimization of reaction parameters and the kinetic/thermodynamic study of the promising poly-β-myrcene epoxide production process.

Cancer cells exhibit metabolic alterations that distinguish them from healthy tissues and make their metabolic processes susceptible to pharmacological targeting. Although typical cell-autonomous features of cancer metabolism have been emerging, it is increasingly appreciated that extrinsic factors also influence the metabolic properties of tumours. This review highlights evidence from the recent literature to discuss how conditions within the tumour microenvironment shape the metabolic character of tumours.

Control of intracellular reactive oxygen species (ROS) concentrations is critical for cancer cell survival. We show that, in human lung cancer cells, acute increases in intracellular concentrations of ROS caused inhibition of the glycolytic enzyme pyruvate kinase M2 (PKM2) through oxidation of Cys³⁵⁸. This inhibition of PKM2 is required to divert glucose flux into the pentose phosphate pathway and thereby generate sufficient reducing potential for detoxification of ROS. Lung cancer cells in which endogenous PKM2 was replaced with the Cys³⁵⁸ to Ser³⁵⁸ oxidation-resistant mutant exhibited increased sensitivity to oxidative stress and impaired tumor formation in a xenograft model. Besides promoting metabolic changes required for proliferation, the regulatory properties of PKM2 may confer an additional advantage to cancer cells by allowing them to withstand oxidative stress.

Tumor hypoxia is associated with poor patient outcomes in estrogen receptor-α–positive (ERα⁺) breast cancer. Hypoxia is known to affect tumor growth by reprogramming metabolism and regulating amino acid (AA) uptake. Here, we show that the glutamine transporter, SNAT2, is the AA transporter most frequently induced by hypoxia in breast cancer, and is regulated by hypoxia both in vitro and in vivo in xenografts. SNAT2 induction in MCF7 cells was also regulated by ERα, but it became predominantly a hypoxia-inducible factor 1α (HIF-1α)–dependent gene under hypoxia. Relevant to this, binding sites for both HIF-1α and ERα overlap in SNAT2’s cis-regulatory elements. In addition, the down-regulation of SNAT2 by the ER antagonist fulvestrant was reverted in hypoxia. Overexpression of SNAT2 in vitro to recapitulate the levels induced by hypoxia caused enhanced growth, particularly after ERα inhibition, in hypoxia, or when glutamine levels were low. SNAT2 up-regulation in vivo caused complete resistance to antiestrogen and, partially, anti-VEGF therapies. Finally, high SNAT2 expression levels correlated with hypoxia profiles and worse outcome in patients given antiestrogen therapies. Our findings show a switch in the regulation of SNAT2 between ERα and HIF-1α, leading to endocrine resistance in hypoxia. Development of drugs targeting SNAT2 may be of value for a subset of hormone-resistant breast cancer.

Several enzymes can simultaneously interact with multiple intracellular metabolites, however, how the allosteric effects of distinct ligands are integrated to coordinately control enzymatic activity remains poorly understood. We addressed this question using, as a model system, the glycolytic enzyme pyruvate kinase M2 (PKM2). We show that the PKM2 activator fructose 1,6-bisphosphate (FBP) alone promotes tetramerisation and increases PKM2 activity, but addition of the inhibitor L-phenylalanine (Phe) prevents maximal activation of FBP-bound PKM2 tetramers. We developed a method, AlloHubMat, that uses eigenvalue decomposition of mutual information derived from molecular dynamics trajectories to identify residues that mediate FBP-induced allostery. Experimental mutagenesis of these residues identified PKM2 variants in which activation by FBP remains intact but cannot be attenuated by Phe. Our findings reveal residues involved in FBP-induced allostery that enable the integration of allosteric input from Phe and provide a paradigm for the coordinate regulation of enzymatic activity by simultaneous allosteric inputs.

Microsurgery serves as the foundation for numerous operative procedures. Given its highly technical nature, the assessment of surgical skill becomes an essential component of clinical practice and microsurgery education. The interaction forces between surgical tools and tissues play a pivotal role in surgical success, making them a valuable indicator of surgical skill. In this study, we employ six distinct deep learning architectures (LSTM, GRU, Bi-LSTM, CLDNN, TCN, Transformer) specifically designed for the classification of surgical skill levels. We use force data obtained from a novel sensorized surgical glove utilized during a microsurgical task. To enhance the performance of our models, we propose six data augmentation techniques. The proposed frameworks are accompanied by a comprehensive analysis, both quantitative and qualitative, including experiments conducted with two cross-validation schemes and interpretable visualizations of the network’s decision-making process. Our experimental results show that CLDNN and TCN are the top-performing models, achieving impressive accuracy rates of 96.16% and 97.45%, respectively. This not only underscores the effectiveness of our proposed architectures, but also serves as compelling evidence that the force data obtained through the sensorized surgical glove contains valuable information regarding surgical skill.

Many cancer cells depend on glutamine as a fuel for proliferation, yet the mechanisms by which glutamine supports cancer metabolism are not fully understood. Two recent studies highlight an important role for glutamine in the synthesis of lipids and provide novel insights into how glutamine metabolism could be targeted for cancer therapy.

The sustainable management of heritage tourism sites requires an integrated approach that balances cultural preservation with socio-economic development. Modern methods of documentation include laser scanning, LiDAR sensors, and aerial photogrammetry. This study explores the application of advanced geospatial and digital technologies to the archaeological park of Dion, located in the Olympus region of Pieria, Greece—a site characterized by monuments from various historical periods. Using high-precision methods and high-end software, we produced detailed 3D models and developed a comprehensive digital platform incorporating Web-GIS applications. These outputs extend beyond conventional documentation, offering tools for education, community engagement, and participatory decision making. The originality of this work lies in its interdisciplinary synthesis of digital heritage technologies and land-use planning, contributing to both academic discourse and practical strategies for sustainable tourism development. The platform not only safeguards cultural assets but also promotes inclusive innovation, job creation, and long-term planning models aligned with the sustainable development goals (SDGs). This case study contributes not only to the safeguarding of cultural heritage for future generations but also to reshaping tourism models that prioritize long-term sustainability over rapid economic gain.

The Hippo pathway is a key regulator of organ size that has also been implicated in tumorigenesis. Yap, one of the effectors of Hippo signalling, is now reported to support these functions by promoting glutamine synthesis.