Volume 8.
Issue 10.

This research investigates the bacterial diversity associated with lung cancer through metagenomic analysis. The study utilized metagenomic data from the European Nucleotide Archive (ENA), specifically accession number PRJNA592147, examining ten FASTQ files representing two lung cancer samples. The 16S lung cancer metagenome was sequenced using Illumina MiSeq paired-end technology, with data processing conducted on the Galaxy server. Data quality was enhanced through FastQC quality control and Trimmomatic sequence trimming. Kraken 2 was employed for taxonomic classification and bacterial community abundance assessment, while the Krona tool facilitated data visualization. The analysis revealed three notable bacterial species: Mycolicibacterium chubuense, Arthrobacter ramosus, and Streptosporangium longisporum. M. chubuense, a member of the Mycobacteriaceae family, is characterized as a non-motile, spore-free bacterium that thrives in various media at 37°C. A. ramosus, belonging to the Micrococcaceae family, is an obligate aerobe that flourishes in multiple culture media at temperatures ranging from 28–30°C. S. longisporum, part of the Streptosporangiaceae family, forms sporangia and exhibits ideal progress at 30°C in specific media. The identification of these bacteria in lung cancer samples suggests their potential involvement in the disease's development and progression. This investigation offers insights into the microbial landscape associated with lung cancer, potentially contributing to a well understanding of the disease's etiology and the development of novel therapeutic approaches. Further research is required to validate these results and elucidate the mechanisms connecting these bacteria to lung cancer.

Workflow orchestration has become an essential component of modern DevOps environments to automate, schedule, monitor, and coordinate complex software and data workflows. To create scalable and robust operations, use cloud-native techniques and CI/CD. Apache Airflow provides a DAG-based solution to task dependency, scheduling, monitoring and distributed process execution. This analysis examines cloud-native and Airflow-based workflow orchestration methods with a focus on their design, attributes, pros, cons, scalability, fault tolerance, resource consumption and complexity. To assess the advancement of workflow orchestration and the role Airflow plays in modern DevOps workflows, researchers examine past research. Researchers review past studies to gauge the evolution of workflow orchestration and the role that Airflow plays in modern DevOps pipelines. The review also looks into new strategies for cloud-native security, automated scaling, multi-cloud orchestration, machine learning-based failure prediction, and observability. The study indicates that cloud-native orchestration provides greater scalability, automation, resilience, and flexibility in infrastructure, while Airflow provides strong dependency management capability, flexibility in scheduling, monitoring, and extensibility. There are still challenges in real-time processing, complexity in operations, cost management, multi-cloud environments, and adaptive orchestration. The highlighted research gaps highlight the need for intelligent and comprehensive orchestration frameworks that integrate cloud-native technologies, predictive analytics, and workflow management. Overall, results indicate that the cloud-native orchestration framework along with the DAG-based workflow management can provide a scalable and flexible foundation for modern workflow automation in DevOps.

The performance of an electrospun biomedical construct is determined less by the spinning parameters than by the polymer from which it is made, yet polymer selection in the literature is usually justified by precedent rather than by a systematic comparison. This review compares eight fibre-forming polymers used in electrospun biomedical constructs — four synthetics (poly (lactic acid), poly (glycolic acid), polycaprolactone, poly (ethylene terephthalate)) and four naturals (chitosan, collagen, alginate, silk fibroin) — across four property groups: thermal and processing behaviour, degradation kinetics and products, biological interaction, and solvent requirements. Reported values are collected in a common format and three derived indicators are introduced: the thermal processing window, the ratio of resorption time to the typical healing period of the target tissue, and the presence or absence of cell-adhesion motifs. The analysis shows that the synthetic polyesters offer a wide and reproducible processing window but a fixed degradation rate and acidic degradation products, whereas the natural polymers offer favourable biological interaction but, with one exception, either degrade too quickly or cannot be spun without a carrier. Silk fibroin is identified as the only polymer whose degradation rate spans the full range required by the reported applications — from weeks to a year — while its degradation products remain metabolisable, and the practical cost of this advantage is quantified as the carrier fraction required for stable jet formation.

Distribution partners can receive timely information yet fail to agree on a response or implement it before service deteriorates. This paper develops Distributed Adaptive Capacity (DAC) to explain that conversion problem. An integrative conceptual synthesis connects organizational information processing, ecosystem coordination, supply-chain resilience and configurational theory. DAC comprises digital permeability, orchestration intensity and reconfiguration velocity. These capabilities are proposed to influence detection, alignment and execution delays, respectively, within an independently specified adaptation window. Five diagnostic archetypes and seven proposition families distinguish the framework's definitions from relationships requiring empirical testing. A documentary illustration of Pak Elektron Limited examines the evidential limits of applying DAC to public disclosures. Dealer-share dissimilarity is approximately 0.216 against four-province population exposure and 0.234 against an urban-population proxy. Commercial and service networks also have different provincial distributions. These calculations describe network structure; they neither measure DAC nor establish its effects. The paper supplies a twelve-indicator protocol, separates missing evidence from low capability, and identifies requirements for event-based validation against established supply-chain constructs. Its contribution is a bounded account of how information becomes coordinated operational change across organizational boundaries. Whether the proposed capability profile improves prediction beyond existing measures remains an open empirical question.

Background: The researchers felt instigated to embark on the research work by the first impression of heavy presence of the Yoruba people they perceived, the day they first traveled to Ajase, Porto Novo or Ugonu, a major town in Benin. Right from this point, a feeling ran through the researchers: to explore, investigate and analyze the origin, the history and the social status of the Yoruba in another country.

Objectives: The research work delves into the history, social status and condition of the Yoruba in Diaspora, with special reference to the Yoruba in Porto Novo area of Benin Republic.

Methods: Empirical methods of observation, oral discussion, interview and interaction with the traditional rulers and people of Porto Novo.  Visitations to important sites. Photographs were used as primary source of data for historical credence and statistical data were qualitatively analyzed.

Results: The Yoruba were the first migrants to occupy the virgin land; the other groups were welcomed and accommodated by the early migrants; a period of crisis between the two groups nurtured animosity, however, social interaction and inter-marriages had closed the social gap, but the colonial division was the original phenomenon that created ethno-linguistic divisions between the Yoruba at home and in Benin Republic.

Unique Contribution: The study has the propensity of improving the social relations between the Yoruba people in Nigeria and the Yoruba in Diaspora. Also, the study can enhance the social status of the Yoruba people in Benin Republic, through social integration and harmonious co-habitation for progress, rather than contempt.

Key Recommendation: Suggestions were made towards fostering the relationship between the Yoruba people at home and abroad and the re-positioning of the status of the Yoruba people based on historical precedence. African leaders could move on to address the problem of ethnic divisions.

Induction heat treatment is used to improve the surface properties of machine parts, but nonuniform heating and cooling can produce residual stresses and dimensional changes. This paper proposes a mechatronic control concept for induction heat-treatment equipment to improve process consistency and reduce the risk of part deformation. A targeted review of published work is combined with a conceptual system design. The proposed architecture links temperature sensing, signal conditioning, a programmable controller, an adjustable induction power source, a workpiece-motion mechanism, and controlled quenching. Published confirmation-test data from an induction-hardening study are reanalyzed descriptively to illustrate how deformation measurements and process limits can inform monitoring. Across six reported tests, maximum deflection ranged from 605 to 815 μm, with a calculated mean of 694.2 μm; these values belong to the cited study and are not results of the present design. The proposed system provides a practical framework for future implementation. Its effect must be confirmed on a defined workpiece through controlled experiments or validated simulation.

Non-woven nanofibrous materials produced by electrospinning are increasingly used in wound management, tissue engineering, controlled drug delivery and cosmetic products. Although the number of reported formulations grows rapidly, the link between the intended clinical or cosmetic function and the material properties that must be engineered to achieve it is rarely stated explicitly, which makes polymer selection largely empirical. This review organises the reported evidence into a function–property–polymer map. Four application groups are analysed: therapeutic dressings, cell substrates for tissue engineering, drug-delivery matrices and cosmetic delivery films. For each group the governing material properties are identified — inter-fibre porosity and specific surface area, fibre diameter and its distribution, fibre orientation, degradation rate and its controllability, surface chemistry and residual-solvent toxicity. It is shown that fibre diameter and degradation controllability are the two properties that appear in all four application groups, whereas fibre orientation is decisive only for anisotropic tissue constructs. On this basis a set of selection criteria is proposed, and silk fibroin is identified as the natural fibre-forming polymer that satisfies the largest number of criteria simultaneously, principally because its degradation rate can be tuned through the β-sheet content without changing the polymer chemistry. The limitations of the current evidence base — the scarcity of quantitative structure–function correlations and of residual-solvent reporting — are discussed.