In this present study, the Realistic Mathematics Education Level of Awareness Among Middle School Students is most important of modern era. Most of the students are less interested in mathematics. Many students consider mathematics difficult, abstract, and disconnected from real life. because they face abstract thinking in real mathematical calculations. Realistic Mathematics Education is based on the idea that students create their knowledge of mathematics. This study mainly focuses on the Realistic Mathematics Education level of awareness among middle school students. The methodology of the study was a descriptive survey design adapted. The sample size is 226 middle school students randomly selected for the collection of data. The findings of the study were that middle school students 2.21% are Not Aware, 10.62% are Slightly Aware, 33.19% are Moderately Aware, and 34.95% are Aware,19.03% are Highly Aware of Realistic Mathematics Education.

Background: Gingival biotype (now often termed periodontal phenotype) describes gingival thickness, keratinized tissue width, and underlying bone morphology. This phenotype has significant influence on periodontal disease progression, clinical outcomes, aesthetic stability, and response to therapy. Aim: To assess gingival biotype distribution in a defined population and evaluate its association with periodontal parameters, specifically probing depth and gingival recession. Materials and Methods: A cross-sectional analytical study involving 85 systemically healthy subjects aged 20–40 years was conducted. Gingival biotype was assessed by both probe transparency and transgingival probing methods. Probing depth and gingival recession were recorded for mandibular anterior teeth. SPSS software employed appropriate inferential statistics; p<0.05 was considered significant. Results: Thin gingival biotype was predominant, and there were statistically significant associations between biotype and both probing depth and gingival recession (p<0.05). Conclusion: Gingival biotype significantly influences periodontal parameters; therefore, routine assessment should be standard in periodontal diagnosis and treatment planning.

Legionnaires’ disease is a severe form of atypical pneumonia caused primarily by Legionella pneumophila. The disease was first identified following a 1976 outbreak at an American Legion convention in Philadelphia. It is transmitted through inhalation of contaminated aerosols from water sources such as cooling towers, air-conditioning systems, hot water systems, and decorative fountains. The incubation period typically ranges from 2 to 10 days. Clinical manifestations include fever, cough, dyspnea, headache, gastrointestinal symptoms, and confusion, with severe cases leading to respiratory failure, septic shock, or multiorgan dysfunction. Diagnosis is primarily based on urinary antigen testing, culture, and polymerase chain reaction (PCR). Prompt treatment with macrolides or fluoroquinolones significantly reduces morbidity and mortality. Preventive strategies focus on proper maintenance and disinfection of water systems to control bacterial growth. Early diagnosis, appropriate antibiotic therapy, and effective public health measures are essential for reducing disease burden and preventing outbreaks.

The main purpose of the study was to determine the perceptions of Small-Scale Business Owners in Enugu state on e-tax system. The study was guided by two research question and two null hypotheses. The population was 494 Small-Scale Business Owners in Enugu State. Convenience Sampling was adopted since some members of the population operates in the rural areas believed to be characterized by insecurity and inadequate internet availability. The instrument used for data collection was a 19-item questionnaire developed by the researchers. The instrument was validated by three experts and the reliability of the instrument was determined using Crombach Alpha which yielded reliability index of 0.87. The instrument was administered to the respondents by the researchers via both online and offline. 201 out of 221 copies of questionnaire were well responded to, returned and used for data analysis representing 91 percent return rate. Mean and standard deviation were used for data analysis and t-test statistics was used to test the null hypotheses. Findings showed that Small-Scale Business Owners in their perceptions agreed that Business owners are aware of the tax e-filing system provided by the ESIRS, tax e-filing system is easier to use for business tax needs, tax e-filing system saves time compared to manual tax filing, e-filling system is compatible with everyday smart phones, tax e-filing makes tax compliance easier for small-scale businesses. The null hypotheses showed no significant difference between the mean scores of male and female Small-Scale Business Owners regarding their perceptions on e-taxation in Enugu State. Based on the finding it was recommended among others that the Enugu State Internal Revenue Service (ESIRS) should vigorously pursue continuous taxpayer sensitization programs, specifically targeting Small-Scale Business Owners and should collaborate with telecommunication and banking service providers to improve internet connectivity and quality banking service delivery, especially in semi-urban and rural parts of Enugu State where many small businesses operate.

This work is about the brain chemicals, and their possible natural catabolic products. Effort has been made to identify if the microwave frequencies of these by products are same as the microwave frequency ranges of sodium and Potassium in ionic solutions present in as well as outside a neurone. It could be a factor responsible for dementia. It is found that excess by products of Tau fragment and Human prion peptide 2 had the same microwave frequency of sodium and Potassium in ionic solutions present in as well as outside a neurone. Therefore, it can affect the neuronal functioning. Efforts have also been made to identify, if any of these Brain chemical bind to each other and block the normal neuronal functioning. In this effort, it is noted that, excess of Human prion peptide 1 can bind to Tau-441 protein. This can affect neuronal function.

This article examines the case of Replika, an AI companionship app, to explore how users contribute unpaid free labor through affective engagement on Reddit. Drawing on Terranova’s concept of free labor and Hardt’s notion of affective labor within a platform studies framework, we analyze interactions on the Replika subreddit (Reddit) as our empirical site. We find that Replika’s users perform diverse forms of labor, from providing feedback and bug reports to offering emotional support and creating content, that enhance the platform without monetary compensation. This analysis highlights the distinctiveness of Replika as a case wherein intimate emotional bonds with an AI agent drive passionate user contributions, raising broader questions about the commodification of affect and the paradoxes of AI-driven platforms. Ultimately, we argue that Replika exemplifies how contemporary platforms harness free and affective labor, with significant implications for digital labor debates in an era of AI-mediated social interaction.

Functional matter is often designed and reported as disconnected advances in synthesis, structure, and performance, which limits transferability across materials classes and length scales. This review introduces a cross-scale design grammar that unifies how researchers specify, test, and validate causal links from processing and reactions to architecture, interfaces, defects, and device-level outcomes. We formalize grammar units as controllable operators, interaction rules, constraints, and measurable metrics, and show how uncertainty and failure modes propagate along the synthesis to structure to function chain. The framework integrates mechanistic control across solution, solid-state, vapor, electrochemical, and mechanochemical routes; mesoscale assembly and hierarchical architectures; interfaces and interphases as transport gatekeepers; and defect chemistry as both a performance lever and a degradation driver. We then treat multimodal characterization as an inference and evidence-fusion problem and map it onto a modeling ladder that spans mechanistic, continuum, statistical, and hybrid approaches with uncertainty quantification and validation. Finally, we provide benchmarking and reporting templates, truth-table criteria for what counts as improvement, and case-study scorecards that identify the dominant bottlenecks in representative applications. By converting fragmented knowledge into a reusable grammar, this review offers a practical, end-to-end playbook for designing functional matter with measurable causality, reproducibility, and observation-ready.