Small Chain Research Articles

Traditional Khmer Water Practices: A Case Study of Phnom K’to, Vietnam

Phnom K’to (Cô Tô Mountain) is the easternmost peak of a small chain of granite outcrops of Vietnam’s Mekong Delta. It reveals a long and rich tradition of water management that is often overlooked in present-day development. Although the region is under Vietnamese control, it had centuries of Khmer rule and inhabitation. Today, the marginalized Khmer settlements around Phnom K’to are spread across varied terrain, from rugged mountains to muddy floodplains, with monsoon-fed and flood-cycle cultivation. The Khmer’s traditional water practices were carefully adapted to topography and water variations, forming interconnected habitats and productive mosaics specific to Khmer society. However, their vernacular landscape has been dramatically transformed and recast by modern canals (since the nineteenth century), dike building and granite mining (since 1975), and roads and reservoirs (since the 2010s). Whereas the entire region suffers from the consequences of global warming (particularly floods and droughts) and ecological destruction, there is an opportunity to revisit traditional Khmer water practices to provide insights for reconfiguring the water system. Fieldwork-based drawings, annotated with Khmer terminology, highlight morpho-topological readings of the relationship between water management practices and settlement. The research seeks to uncover opportunities to revisit and revalue such practices to renew stewardship of the territory.

“Games being played”: a US exploration of market strategies used by the beverage industry as experienced by food retailers

BackgroundThe beverage industry’s role in undermining nutrition-related population health is a growing global concern. Industry strategies that affect policy, science, and public opinion are increasingly exposed. However, those used in the retail space—known as market strategies—remain largely unspecified. The purpose of this study was to uncover the market strategies beverage companies use with US retailers to secure their influence and control in the primary setting where the public purchases their products—food retail.MethodsWe conducted a qualitative study based on multiple data sources: 49 interviews with industry insiders, including chain retail managers, independent store owners, and sales representatives and distributors of major food and beverage companies; 15 business files shared by participants, including written beverage marketing agreements and contracts; and 27 purposively sampled, publicly-available industry documents. All data were thematically analyzed.ResultsWe identified that beverage agreements, which dictate the products, space, marketing, and prices of company products in retail settings, are universal regardless of the retailer’s market size. While ubiquitous, the agreement terms, services, and treatment beverage companies provided varied widely—with large US retail chains receiving superior opportunities, such as financial incentives and additional services, and independent and small chain retailers often experiencing disadvantaged, more expensive, non-negotiable terms. Despite this, companies also used several strategies that diminished concerns of differential treatment and thus effectively managed their reputation among independent and small chain retailers.ConclusionsFindings suggest a use of the consolidated power among beverage companies with significant implications for the healthfulness of food retail settings. We conclude by highlighting key policy and legal targets that could be leveraged in the US to address power imbalances in the retailer-beverage company relationship and ultimately shift retail towards promoting public health.

Sustainable optimisation of SMEs closed-loop supply chain for lithium battery manufacturing

Maintaining the sustainability of small and medium-sized enterprises (SMEs) supply chain has positive impact on society. Under the ripple effect, the vulnerability of the SMEs supply chain and the collaboration uncertainty of participants have potentially negative impact on the sustainability that cannot be ignored. We consider the closed-loop SMEs supply chain network design based on the risk propagation to improve the triple sustainability. The basis of the simulation model structure is a bi-level multi-objective mixed-integer linear programming model that aims to maximise triple sustainability, and an improved dynamic non-dominated genetic algorithm (DNSGA2) is designed to solve the problem. An SMEs supply chain for closed-loop manufacturing of lithium batteries in China was considered. The results show that the centralised SMEs supply chain preform better when the supply-demand imbalance, and the distributed network structure is preform better in maintaining sustainability when manufacturer capacity imbalances. Supply chain managers should develop more flexible strategies based on the structure of downstream demand, increasing upstream manufacturers' participation to enhance their viability and improve the sustainability of the supply chain.

Longissimus from Berkshire pigs in a small-scale supply chain have increased oxidative metabolism, tenderness and water-holding capacity, compared with Large White × Landrace pigs in a modern commercial supply chain

Context Selection for leanness in the modern Australian pig has resulted in inconsistent quality, including a lack of pork tenderisation during ageing. Inconsistent quality is potentially a result of differences in supply chain and breed as well as the variation in muscle fibre-type proportion in pork longissimus. Aim The aim was to investigate differences in fibre-type proportion and pork quality between Large White-Landrace pigs in a large supply chain and Berkshire pigs processed in a small supply chain. Methods Pigs (n = 22) from two suppliers with different breeds (Supplier 1, Large White × Landrace, SC1-LWLR, n = 12, modern commercial pigs; Supplier 2, Berkshire, SC2-Berk, n = 10, heritage pigs) were slaughtered and samples from the longissimus were extracted at 3, 24, and 48 h postmortem for enzyme and pH analyses. Longissimus samples were subjected to ageing for either 2 or 16 days postmortem (Day 2, Day 16), assessed for colour, muscle fibre-type proportion (%), muscle fibre diameter (μm), water-holding capacity (purge, % and cook loss, %), Warner–Bratzler peak shear force (WBSF, N), and protein denaturation temperature using differential scanning calorimetry (DSC, peak temperature, °C). Key results SC1-LWLR had higher purge than SC2-Berk (2.85% and 1.83% respectively; standard error of the difference (SED) = 0.33; P = 0.003), higher cook loss on Day 16 (24.63% and 16.79% respectively; SED = 1.62; P = 0.017) and higher WBSF on Day 2 and Day 16 (Day 2, 30.9 N and 26.7 N respectively; Day 16, 28.6 N and 22.0 N respectively; SED = 0.98, interaction P = 0.003). SC1-LWLR had a lower proportion of Type I (10.1% vs 16.0%; SED = 0.51) and Type IIA (14.0% vs 22.0%; SED = 0.77) and a higher proportion of Type IIB (75.9% vs 62.0%; SED = 0.74) (P < 0.001 for all) fibres. SC1-LWLR had lower DSC temperatures for two peaks. SC2-Berk had higher citrate synthase activity (P = 0.003) and glycolytic potential (P < 0.001) than SC1-LWLR. Conclusions SC2-Berk longissimus had improved quality compared with SC1-LWLR pork, most likely owing, in part, to higher proportion of oxidative and intermediate fibres in the Berkshires. However, effects of differences in environmental conditions and/or processing conditions cannot be ruled out. Implications The experiment increased our understanding of how variation in supply chains and muscle fibre-type proportion can impact the production of consistently high-quality pork.

Surface‐Functionalization of Oleate‐Capped Nano‐Emitters for Stable Dispersion in 3D‐Printable Polymers

AbstractTwo‐photon polymerization 3D‐printing is a well‐known technique for fabricating passive micro/nanoscale structures, such as microlenses and inversely designed polarization splitters. The integration of light emitting nanoparticle (NP) dopants, such as quantum dots (QDs) and rare‐earth doped nanoparticles (RENPs), into a polymer resist would enable 3D printing of active polymer micro‐photonic devices, including sensors, lasers, and solid‐state displays. Many NPs contain oleic acid ligands to prevent degradation, but oleate‐capped NPs (oc‐NPs) tend to agglomerate in nonpolar media despite the hydrophobicity of the ligand. This results in an uneven nanoparticle distribution and increased optical extinction. In this work, a general approach is proposed for dispersing oc‐NPs in commercial 3D printable polymers. Controlled growth of small carbon chains around the oc‐NPs is achieved by functionalizing them with methyl‐methacrylate monomers. The proposed approach is validated on RENPs (≈65 nm) and CdSe/ZnS quantum dots (≈12 nm) using commercial polymer resists (IP‐Dip and IP‐Visio). Dispersions of functionalized NPs (f‐NPs) have improved the NP density by an order of magnitude and are shown to be stable for several weeks with minimal impact on printing quality. The approach is generalizable to other oc‐NPs, enabling synthesis of functional resins for high‐quality polymer‐based optical and electronic devices.

A Continuous Flow Process for the Defluorosilylation of HFC-23 and HFO-1234yf.

A continuous flow process has been developed for the defluorosilylation of trifluoromethane (HFC-23) and 2,3,3,3-tetrafluoropropene (HFO-1234yf) through reaction with lithium silanide reagents under inert conditions. Design of experiment optimization improved process conditions, including productivity, yields, reduction of solvent use, and gas destruction. The small chain fluorinated organosilane products R3SiCF2H and R3SiCH2C(F)═CF2 were competent nucleophiles in the fluoride-catalyzed difluoromethylation of aldehydes, and trifluoroallylation of aldehydes, ketones, and imines.

Modeling protein-small molecule conformational ensembles with ChemNet.

Modeling the conformational heterogeneity of protein-small molecule systems is an outstanding challenge. We reasoned that while residue level descriptions of biomolecules are efficient for de novo structure prediction, for probing heterogeneity of interactions with small molecules in the folded state an entirely atomic level description could have advantages in speed and generality. We developed a graph neural network called ChemNet trained to recapitulate correct atomic positions from partially corrupted input structures from the Cambridge Structural Database and the Protein Data Bank; the nodes of the graph are the atoms in the system. ChemNet accurately generates structures of diverse organic small molecules given knowledge of their atom composition and bonding, and given a description of the larger protein context, and builds up structures of small molecules and protein side chains for protein-small molecule docking. Because ChemNet is rapid and stochastic, ensembles of predictions can be readily generated to map conformational heterogeneity. In enzyme design efforts described here and elsewhere, we find that using ChemNet to assess the accuracy and pre-organization of the designed active sites results in higher success rates and higher activities; we obtain a preorganized retroaldolase with a k cat / K M of 11000 M -1 min - 1 , considerably higher than any pre-deep learning design for this reaction. We anticipate that ChemNet will be widely useful for rapidly generating conformational ensembles of small molecule and small molecule-protein systems, and for designing higher activity preorganized enzymes.

An Application of an Initial Full Value of Vaccine Assessment Methodology to Measles-Rubella MAPs for Use in Low- and Middle-Income Countries.

Measles and rubella micro-array patches (MR-MAPs) are a promising innovation to address limitations of the current needle and syringe (N&S) presentation due to their single-dose presentation, ease of use, and improved thermostability. To direct and accelerate further research and interventions, an initial full value vaccine assessment (iFVVA) was initiated prior to MR-MAPs entering phase I trials to quantify their value and identify key data gaps and challenges. The iFVVA utilized a mixed-methods approach with rapid assessment of literature, stakeholder interviews and surveys, and quantitative data analyses to (i) assess global need for improved MR vaccines and how MR-MAPs could address MR problem statements; (ii) estimate costs and benefits of MR-MAPs; (iii) identify the best pathway from development to delivery; and (iv) identify outstanding areas of need where stakeholder intervention can be helpful. These analyses found that if MR-MAPs are broadly deployed, they can potentially reach an additional 80 million children compared to the N&S presentation between 2030-2040. MR-MAPs can avert up to 37 million measles cases, 400,000 measles deaths, and 26 million disability-adjusted life years (DALYs). MR-MAPs with the most optimal product characteristics of low price, controlled temperature chain (CTC) properties, and small cold chain volumes were shown to be cost saving for routine immunization (RI) in low- and middle-income countries (LMICs) compared to N&S. Uncertainties about price and future vaccine coverage impact the potential cost-effectiveness of introducing MR-MAPs in LMICs, indicating that it could be cost-effective in 16-81% of LMICs. Furthermore, this iFVVA highlighted the importance of upfront donor investment in manufacturing set-up and clinical studies and the critical influence of an appropriate price to ensure country and manufacturer financial sustainability. To ensure that MR-MAPs achieve the greatest public health benefit, MAP developers, vaccine manufacturers, donors, financiers, and policy- and decision-makers will need close collaboration and open communications.

Dominant Chemical Interactions Governing the Folding Mechanism of Oligopeptides.

The hydrophobic effect is the main factor that drives the folding of polypeptide chains. In this study, we have examined the influence of the hydrophobic effect in the context of the main mechanical forces approach, mainly in relation to the establishment of specific interplays, such as hydrophobic and CH-π cloud interactions. By adopting three oligopeptides as model systems to assess folding features, we demonstrate herein that these finely tuned interactions dominate over electrostatic interactions, including H-bonds and electrostatic attractions/repulsions. The folding mechanism analysed here demonstrates cooperation at the single-residue level, for which we propose the terminology of "single residues cooperative folding". Overall, hydrophobic and CH-π cloud interactions produce the main output of the hydrophobic effect and govern the folding mechanism, as demonstrated in this study with small polypeptide chains, which in turn represent the main secondary structures in proteins.

Ionic gels with high mechanical strength enabled by supramolecular interactions between small molecular solvents and polymer chains

Abstract The limited mechanical properties of hydrogels significantly impede their practical applications. In this research, we have synthesized supramolecular ionic gels using betaine, citric acid, and acrylamide as the main components. These specimens exhibit exceptional tensile properties (exceeding 1000% elongation at break) and toughness (approximately 3 MJ/m3), as well as recovery capabilities under substantial compressive strains. Furthermore, these transparent and conductive ionic gels have been employed in the fabrication of alternating current electroluminescent devices with single-electrode configurations. The outcomes of this study indicate that the high-strength ionic gel preparation method outlined herein shows great potential for expanding the application spectrum of ionic gels.

Smoke Points: A Crucial Factor in Cooking Oil Selection for Public Health

: Cooking oils and fats play a significant role in our daily diet and culinary practices by enhancing flavours, textures, and nutritional value. However, overheating these fats can compromise the quality and safety of cooked foods. When oils and fats exceed their smoke points, they undergo chemical breakdown, producing volatile compounds, off-flavours, and undesirable odors, including harmful substances like small chain fatty acids, trans fats, acrylamides, and polycyclic aromatic hydrocarbons. It is crucial to avoid overheating oils to mitigate the formation of these toxic substances and instead opt for those with higher smoke points for high-temperature cooking methods. The smoke point, indicating the temperature at which visible smoke is emitted, serves as a critical indicator of thermal stability and suitability for various cooking oils and fats. Therefore, understanding and considering the smoke points of different oils and fats are essential for maintaining food quality and safety in culinary practices. This review consolidates existing knowledge on the smoke points of various oils and fats and methods for determining smoke points, providing a list of fifty-one oils and fats with their respective smoke points and highlighting their applications in cooking. By considering the smoke point, chefs, cooks, and food manufacturers can select oils that optimize cooking, frying, taste, texture, flavour enhancement, salad dressings, marinades, baking, and overall safety in their culinary practices. Mindfulness of the smoke point helps prevent the degradation of nutritional value and the generation of harmful compounds during the cooking process.

Design and deployment of zero-trust SMPC algorithm to enhance financial cybersecurity in small and medium scale supply chains in the United States

This study designs and deploys zero-trust secure multiparty computation (SMPC) algorithms to enhance financial cybersecurity in small and medium-sized enterprises (SMEs) within the U.S. supply chain. Utilizing TensorFlow for machine learning, Apache Kafka for real-time data processing, and SMPC protocols, the proposed solution aims to provide robust, scalable, and economically viable cybersecurity measures. The research involved developing advanced machine learning-based zero-trust algorithms using TensorFlow, integrating SMPC protocols for secure data computation, and utilizing Apache Kafka for real-time data processing. The algorithms were tested and validated in both simulated and real-world SME environments to evaluate their effectiveness. The implementation of zero-trust SMPC algorithms led to significant improvements in various cybersecurity metrics. The true positive rate (TPR) increased from 85% to 98%, and the false positive rate (FPR) decreased from 5% to 1%. Average incident response time was reduced from 4 hours to 1 hour, and the average cost per incident decreased by 80%, with data loss per incident reduced by 90%. Compliance with GDPR and CCPA standards improved by 35.71% and 38.46%, respectively. User satisfaction increased by 41.67%, and system availability improved from 95% to 99%, with network latency decreasing by 60%. The results demonstrate that zero-trust SMPC algorithms significantly enhance financial cybersecurity for SMEs, reducing security incidents and financial impacts, improving regulatory compliance, and increasing user satisfaction and system performance. These advancements are crucial for strengthening the resilience and stability of the U.S. supply chain, supporting economic growth.

Small Pelagics in West Africa face the multiple challenges of food security, wealth creation and regional governance

The aim of this article is to present the multidimensional challenges associated with the exploitation of small pelagic fish in the West Africa region. The method involved collecting statistical data on the production and trade of these fish from research centres located in countries along the West African coastline. Field surveys were also conducted with experts and key stakeholders in fisheries to gather qualitative information on fisheries resource governance and working conditions within the value chain. These empirical data are enriched by a narrative review of scientific literature. Our results show an average annual production of small pelagic fish estimated at 1.3 million tonnes. Although this performance has improved over the past decade, primarily due to increased catches in Mauritania, it remains insufficient to meet the needs of a rapidly growing population. Indeed, per capita consumption of small pelagic fish has decreased by two kilograms over the past decade, currently standing at five kilograms per individual per year. The trade deficit in pelagic fish is increasing. This situation is set to worsen in the coming years due to various factors such as the current state of overexploitation of pelagic stocks, degradation of marine ecosystems, and climate change. Additionally, the emergence of fishmeal and fish oil industries, as well as the lack of adequate port infrastructure, hampers the value addition of the small pelagic fish value chain for human consumption. On the governance front, several challenges remain. Current public policies are often directive and ineffective, particularly concerning artisanal fisheries. The management of migrant fishers also remains problematic, exacerbating the pressure on already vulnerable stocks. Despite the establishment of regional institutions, interviews with experts highlight a lack of integration and synergy in fisheries resource governance. In a context where issues of food security and climate change are becoming increasingly urgent, it is imperative to design and implement robust regional strategies to address these critical challenges.Haut du formulaire Bas du formulaire

Structural investigation of the complexation between vitamin B12 and per- and polyfluoroalkyl substances: Insights into degradation using density functional theory

Environmental remediation of per- and polyfluoroalkyl substances (PFAS) has become a significant research topic in recent years due to the fact that these materials are omnipresent, resistant to degradation and thus environmentally persistent. Unfortunately, they have also been shown to cause health concerns. PFAS are widely used in industrial applications and consumer products. Vitamin B12 (B12) has been identified as being catalytically active towards a variety of halogenated compounds such as PFAS. It has also been shown to be effective when using sulfide as a reducing agent for B12. This is promising as sulfide is readily available in the environment. However, there are many unknowns with respect to PFAS interactions with B12. These include the reaction mechanism and B12's specificity for PFAS with certain functionalization(s). In order to understand the specificity of B12 towards branched PFAS, we examined the atomistic interactions between B12 and eight different PFAS molecules using Density Functional Theory (B3LYP/cc-pVDZ). The PFAS test set included linear PFAS and their branched analogs, carboxylic acid and sulfonic acid headgroups, and aromatic and non-aromatic cyclic structures. Conformational analyses were carried out to determine the lowest energy configurations. This analysis showed that small chain PFAS such as perfluorobutanoic acid interact with the cobalt center of B12. Bulkier PFAS prefer to interact with the amine and carbonyl groups on the sidechains of the B12 ring system. Furthermore, computed complexation energies determined that, in general, branched PFAS (e.g. perfluoro-5-methylheptane sulfonic acid) interact more strongly than linear molecules (e.g. perfluorooctanesulfonic acid). Our results indicate that it may be possible to alter the interactions between B12 and PFAS by synthetically modifying the sidechains of the ring structure.

Photocurable vitrimers with malleable and self-healing trade-off enabled by manipulating dynamic boronic ester bonds

Although numerous strategies refer to dynamic covalent bond exchanges of small molecules for self-repairing thermosets, it remains a critical challenge to be able to jointly tune the malleability and dynamic properties of photocurable materials via extending dynamical small molecule bridging chains with tunable kinetic features. Herein, we successfully synthesized two typical diboronic ester molecules (diboronic ester dithiol/diacid) with variable dioxaborolane metathesis kinetics, which acted as dynamical interlinking segments constructing simple hydrogenated bisphenol A (HBA) epoxy backbone to achieve dynamically cross-linking feature. Subsequently, the acrylate- and anhydride-modified HBA vitrimers bearing diboronic ester-extending segment variants and photocuring traits are successfully synthesized by a one-pot reaction. Consequently, it is demonstrated that the embedded amounts of dynamic diboronic ester bonds in the backbone play a key role in the photopolymerization rate of photocurable vitrimers. The photopolymerization rate decreases significantly as more diboronic ester segments. Moreover, the diboronic ester dithiol-mediated photocurable vitrimer (HBA-S) exhibits enhanced malleability (strain at break of 26.6 %), desirable photo-crosslinked network, and accelerated thermal-triggered self-healing ability (scratch self-healing efficiency of closing to 100 % at 150 °C), compared to those of the diboronic ester diacid-mediated vitrimer (HBA-O) under identical conditions. This work validates the probability of transferring the dioxaborolane metathesis of small molecules to dynamic properties of bulk UV-curing materials, which provides valuable guidance for the rational design and fabrication of tunable dynamic photocurable materials.

Ethical considerations in AI use for SMEs and supply chains: Current challenges and future directions

The integration of Artificial Intelligence (AI) in Small and Medium-sized Enterprises (SMEs) and supply chains has revolutionized operational efficiencies and decision-making processes. This review paper aims to explore the ethical implications of AI adoption in these sectors, identifying current challenges and proposing future directions for ethical AI deployment. Through an extensive review of existing literature, the paper examines key ethical concerns such as data privacy, bias in AI algorithms, transparency, and the socio-economic impact on the workforce. The findings indicate that SMEs face unique ethical challenges due to their limited resources and expertise, which exacerbate issues related to AI implementation. Additionally, supply chains grapple with transparency and accountability, necessitating immediate attention to ensure ethical practices. The review concludes that establishing a robust ethical framework is crucial for guiding AI integration in SMEs and supply chains. It recommends the development of standardized ethical guidelines, enhanced stakeholder engagement, and increased investment in AI literacy and infrastructure. Future research should focus on creating adaptable ethical models that evolve alongside technological advancements and industry needs, ensuring that AI contributes to sustainable and equitable growth. This paper contributes to the ongoing discourse on ethical AI, offering actionable insights for policymakers, business leaders, and researchers dedicated to fostering responsible AI practices in SMEs and supply chains. Keywords: Ethical AI, SMEs (Small and Medium-sized Enterprises), Supply Chains, Algorithmic Bias, Data Privacy, Transparency, Accountability, AI Trust, Regulatory Compliance, Stakeholder Engagement, Job Displacement, Explainable AI (XAI), Workforce Reskilling, Sustainable AI Practices, AI Ethics Frameworks.

Tailoring the structural and physicochemical properties of rice straw cellulose-based cryogels by cell-mediated polyhydroxyalkanoate deposition

This study presents a novel biotechnological approach for creating water vapor-resistant cryogels with improved integrity. Rice straw cellulose was transformed into nanofibrils through TEMPO-mediated oxidation and high-pressure homogenization. The resulting cryogels remained firm even when immersed in aqueous media, whose pores were used by live cell to deposit polyhydroxyalkanoate (PHA) particles inside them. This novel method allowed the compatibilization of PHA within the cellulosic fibers. As a consequence, the water sorption capacity was decreased by up to 6 times having just 4 % of PHA compared to untreated cryogels, preserving the cryogel density and elasticity. Additionally, this technique can be adapted to various bacterial strains and PHA types, allowing for further optimization. It was demonstrated that the amount and type of PHA (medium chain length and small chain length-PHA) used affects the properties for the cryogels, especially the water vapor sorption behavior and the compressive strength. Compared to traditional coating methods, this cell-mediated approach not only allows to distribute PHA on the surface of the cryogel, but also ensures polymer penetration throughout the cryogel due to bacterial self-movement. This study opens doors for creating cryogels with tunable water vapor sorption and other additional functionalities through the use of specialized PHA variants.

AB071. Predictive value of plasma microRNA-10b and microRNA-21 on chemotherapy toxicity, recurrence, and overall survival in high-grade glioma patients treated with temozolomide.

The low level of median survival rate after complete therapy (i.e., surgery and concomitant chemotherapy and radiotherapy) in high-grade glioma (HGG) patients reflects the needs for a better understanding about HGG pathogenesis, including the role of epigenetic in glioma. MicroRNA (miRNA), a small chain non-coding RNA, has been increasingly utilized in the management of other oncology cases and might possess an immense potential in HGG. The expression of miRNA-10b and miRNA-21 (i.e., two miRNAs that are frequently studied due to its involvement in glioma) are higher in HGG patients and their role in regulatory mechanism of glioma has been established. However, the influence of those miRNAs in toxicity, recurrence, and overall survival of HGG patients is still unclear. We aim to assess the predictive value of plasma miRNA-10b and miRNA-21 in the chemotherapy toxicity, recurrence, and overall survival of HGG patients. This is an observational analytic study using hospital-based mixed cohort approach. The study is conducted in RSUP Dr. Sardjito, Yogyakarta, from January 2021 to December 2024. We prospectively assess the plasma miRNA level from HGG patients who met the inclusive and exclusive criteria. The consecutive sampling is used until the sample size is met. Statistical analysis will be conducted for temozolomide toxicity using Spearman's rank correlation, for recurrence using logistical regression, and for overall survival test. In this ongoing study, we plan to collect samples from 155 HGG patients. As of April 2024, we managed to collect 96 samples (median age of 49 years and 55% of male patients). Most of the patients were diagnosed with World Health Organization (WHO) grade IV tumors (69.3%), with the most common diagnosis was glioblastoma (62%). Most of the patients had unmethylated O6-methylguanine-DNA methyltransferase (MGMT) and wild-type isocitrate dehydrogenase (IDH) status (62% and 57%, respectively). There was no difference in miRNA-21 expression based on MGMT status (methylated or unmethylated), nor IDH status (wild type or mutant), with P=0.39 and P=0.25, respectively. Moreover, we found no significant difference in miRNA-10b expression in both MGMT status and both IDH status (P=0.19 and P=0.09). As for the data regarding toxicity, recurrence, and overall survival was still on the process of data collection. MiRNA is a promising epigenetic modulator that might be utilized in HGG management. A better understanding on the role of miRNA in HGG patients might be able to improve clinical outcome.

Evolution mechanism of organic macromolecular structure during lignite pyrolysis

Understanding the mechanisms governing coal pyrolysis reactions, particularly in relation to the coal macromolecular structure, is crucial for improving energy efficiency and facilitating the transition of coal into a clean energy source. This study employs cutting-edge techniques, such as High-Resolution Transmission Electron Microscopy (HRTEM) and Thermogravimetric Analysis coupled with Fourier Transform Infrared Spectroscopy and Mass Spectrometry (TG–FTIR–MS), to analyze lignite and its residual solid samples subjected to pyrolysis across a range of temperatures from 300 °C to 1100 °C. The variational characteristics of the macromolecular structure during coal pyrolysis are examined. Utilizing molecular dynamics simulations, we analyze the evolution mechanism of the macromolecular carbon structure of organic matter during the coal pyrolysis process. The results show that the pyrolysis can be divided into three distinct phases: activation (30–300 °C), pyrolysis (300–650 °C), and condensation (650–1200 °C). During these phases, the coal structure undergoes complex transformations, including folding, twisting, shedding of small molecular side chains, and breaking of macromolecular side chains, ultimately leading to the directional arrangement of structural fragments. The structural units initially undergo decomposition, followed by growth and alignment in a certain direction. The spatial distribution of aromatic structural units evolves from local ordering to complete disordering, culminating in larger-scale, three-dimensional ordering. The order of bond breaking within the macromolecular structure of lignite pyrolysis is: oxygen-containing functional groups (such as C–O and COOH) > aliphatic structure (N–C and C–C) > aromatic structure (CC). By uncovering the reaction intermediates and pathways involved in lignite pyrolysis, this research provides a comprehensive quantitative description of the coal pyrolysis process. These insights offer invaluable theoretical support for the industrial-scale pyrolysis of coal, paving the way for more efficient and sustainable utilization of this crucial energy resource.

A Comprehensive framework for prioritizing alternative strategies in information management for micro, small, and medium enterprises (MSMEs) supply chain: a hybrid AHP-FUZZY TOPSIS approach

A Comprehensive framework for prioritizing alternative strategies in information management for micro, small, and medium enterprises (MSMEs) supply chain: a hybrid AHP-FUZZY TOPSIS approach