Acharya Nagarjuna University

ABSTRACT Voxelotor is the first oxygen‐affinity modulator for hemoglobin. It was demonstrated that voxelotor could potentially modify the disease condition by raising hemoglobin levels and lowering hemolysis markers in sickle cell patients. The voxelotor was exposed to various kinds of degradation conditions, including hydrolysis, oxidation, and photolysis according to the conditions suggested by the International Council for Harmonization (ICH). Two voxelotor degradation impurities were detected during acid hydrolysis and oxidation (H 2 O 2 ). The in silico degradation profile was predicted using Zeneth. The degradation impurities were separated using ammonium formate (pH 6.5) and acetonitrile as the mobile phase with gradient elution and Phenomenex Gemini C18 column (250 × 4.6 mm, 5 µm) as a stationary phase. Liquid chromatography–high resolution mass spectrometry (LC‐HRMS) was used to characterize the separated degradation impurities. The structures of each degradation impurity were ascertained using the accurate masses acquired from LC‐HRMS/MS. A suitable mechanism for the formation of degradation impurities was proposed. The in silico studies for mutagenicity and toxicity were conducted using DEREK and SARAH Nexus.

Dr. Ambedkar is a leader of oppressed classes who fought against caste system and untouchability. His contributions as an economist, socio-political and constitutional expert. His ideas on economic planning, agricultural reforms, irrigation, and rural development are remaining remarkably relevant in the twenty-first century. Ambedkar recommended liberalization, globalization and privatization implemented in the year 1990. Ambedkar views of caste system as a major problem on the economic, social front. In this Article I mentioned Ambedkar’s work in the field of economics like contribution to monetary economics and public finance, views on Indian currency, Untouchability and Caste, abolition of Khoti system, public expenditure, public economics and economic liberalization etc. This paper also suggests ways the work of Ambedkar’s work in policy making. The paper concludes that Ambedkar’s integrated approach mixing economic justice, technological modernization, and decentralized development remains vital for achieving sustainable and inclusive growth in contemporary India.

Building on the Waldhausen and Quillen models of higher algebraic $K$-theory for exact categories and Waldhausen categories attached to a non-commutative $n$-ary $\Ga$-semiring $(T,\Ga)$, we establish the fundamental formal properties of $K$-theory in this $\Ga$-parametrised, slot-sensitive setting. For the exact/Waldhausen categories of finitely generated bi-positional $n$-ary $\Ga$-modules, perfect complexes in the derived category, and perfect quasi-coherent complexes on the non-commutative $\Ga$-spectrum $\SpecGnC{T}$, we prove Waldhausen Fibration and Additivity theorems and Quillen-type Localization for Serre and Waldhausen pairs. Under natural hypotheses on $\Ga$-stable filtrations we obtain dévissage and Approximation theorems, together with cofinality and Karoubi invariance, showing that idempotent completion does not change $K$-theory and that cofinal subcategories control $K_n$ in positive degrees. We further derive a Bass--Quillen fundamental triangle for polynomial extensions in the $n$-ary $\Ga$-context and prove nilpotent invariance for two-sided $\Ga$-ideals. In geometric terms, these results yield localization and Mayer--Vietoris sequences for the $K$-theory of $\Perf(X)$ on $X=\SpecGnC{T}$ and its admissible open covers. Altogether, the paper shows that the higher $K$-theory of non-commutative $n$-ary $\Ga$-semirings enjoys the same formal properties as in the classical ring and scheme cases, providing a robust foundation for subsequent computational and homotopy-theoretic applications.

Abstract Background: While Multiple Intelligence (MI) theory has been widely implemented in educational settings, empirical evidence linking MI profiles to mathematics achievement in Indian contexts remains limited, particularly in comparative analyses of government and private schools. Methods: This cross-sectional study examined 550 Grade 10 students (275 government, 275 private schools) from Guntur District, Andhra Pradesh (2022). Students responded to a validated 90-item inventory of MI (Cronbach's α = .89-.93) and a standardized 50-item mathematics achievement test (KR-20 = .88). The data were subjected to analysis by means of independent t-tests, chi-square tests, MANOVA, hierarchical multiple regression, and multicollinearity diagnostics. Results Private school students significantly outperformed government school students in every MI domain and in overall mathematics achievement (Cohen's d = 0.32-1.06, all p < .001). Chi-square statistics revealed that there were significant differences in the profiles of MI in both types of schools (χ² = 28.64–67.38, p < .001). Logical-mathematical intelligence (β = .48, p < .001), linguistic intelligence (β = .22, p < .001), and spatial intelligence (β = .15, p < .01) were the three most significant predictors of performance in mathematics, indicating 61.3% variance. The effect of school type on the relationship between logical-mathematical intelligence and achievement was significant (β = .12, p < .05). VIFs were between 1.23 and 2.87 without indication of multicollinearity. Conclusion: MI patterns are strong predictors of mathematics achievement with unique trajectories for different types of school, indicating that the educational environment drives changes in student thinking and the applicability of cognition to academic outcomes. Results All the findings show that there is an advantage for teaching opting for the MI strengths of the students, specifically in the less privileged schools (government schools).

ABSTRACT This study examines the impact of electromagnetic Lorentz force and thermal convective boundaries on second‐order nanofluid flow over a Riga plate, considering heat sources varying with both location and temperature. A Lorentz force acts along the plate, and the Grinberg‐related component is included in the governing equations. A no‐mass‐transfer condition on the solid Riga boundary suppresses nanoparticle concentration. Using modern heat and mass transfer principles, the Cattaneo–Christov thermal flux model and extended Fick's law are applied. The governing equations are transformed into ordinary differential form through similarity transformations and solved using the Runge–Kutta–Fehlberg method. Results show enhanced nanoparticle temperature with higher radiation parameters and Biot numbers, whereas concentration decreases under constructive and increases under destructive chemical reactions.