Utilization of non-conventional systems for conversion of biomass to food components: Potential for utilization of algae in engineered foods

The major nutritional components of the green algae (Scenedesmus obliquus) grown in a Constant Cell density Apparatus were determined. Suitable methodology to prepare proteins from which three major undesirable components of these cells (i.e., cell walls, nucleic acids, and pigments) were either removed or substantially reduced was developed. Results showed that processing of green algae to protein isolate enhances its potential nutritional and organoleptic acceptability as a diet component in a Controlled Ecological Life Support System

Potential for utilization of algal biomass for components of the diet in CELSS

The major nutritional components of the green algae (Scenedesmus obliquus) grown in a Constant Cell Density Apparatus were determined. Suitable methodology to prepare proteins from which three major undesirable components of these cells (i.e., cell walls, nucleic acids, and pigments) were either removed or substantially reduced was developed. Results showed that processing of green algae to protein isolate enhances is potential nutritional and organoleptic acceptability as a diet component in controlled Ecological Life Support System

Full duplex 60 GHz millimeter wave transmission over multi-mode fiber

Copyright @ 2010 IEEENew wireless subscribers are signing up at an increasing demand of more capacity for ultra-high data rate transfers at speeds more than 1 Gbps, while the radio spectrum is limited. Millimeter wave communication system offers a unique way to resolve these problems. In this paper, the performance of a full duplex transportation system is reported for 1.5 Km of multi-mode fiber length for a sample 10 Gbit/s pseudo random sequence data, with quadrature amplitude modulation mapping and orthogonal frequency division multiplexing modulation with 60 GHz RF and coherent 1550 nm optical carrier. The analysis and simulation results show that the system's quality of service depends on nonlinearity of electro optical modulator, dispersion and signal attenuation impairment of the multi-mode fiber cable

Development of a stability-indicating high performance liquid chromatography method for assay of erythromycin ethylsuccinate in powder for oral suspension dosage form

In this study an effective method was developed to assay erythromycin ethylsuccinate for an oral suspension dosage form. The chromatographic separation was achieved on an X-Terra[superscript ™] C[subscript 18] analytical column. A mixture of acetonitrile–ammonium dihydrogen phosphate buffer (0.025 mol L[superscript -1]) (60:40, V/V) (pH 7.0) was used as the mobile phase, effluent flow rate monitored at 1.0 mL min[superscript −1], and UV detection at 205 nm. In forced degradation studies, the effects of acid, base, oxidation, UV light and temperature were investigated showing no interference in the peak of drug. The proposed method was validated in terms of specificity, linearity, robustness, precision and accuracy. The method was linear at concentrations ranging from 400 to 600 μg mL[superscript −1], precise (intra- and inter-day relative standard deviations <0.65), accurate (mean recovery; 99.5%). The impurities and degradation products of erythromycin ethylsuccinate were selectively determined with good resolution in both the raw material and the final suspension forms. The method could be useful for both routine analytical and quality control assays of erythromycin ethylsuccinate in commercial powder for an oral suspension dosage form and it could be a very powerful tool to investigate the chemical stability of erythromycin ethylsuccinate.Chemi Darou Industrial Compan

LLM-Assisted Innovations in Self-Referential Logic &amp; Meta-Mathematics

LLMs are used as a logical simulator in collaboration with a human to solve logical paradoxes and problems in meta-mathematics. This paper represents an attempt to document the output of this exercise with various LLMs and see if any of the numerous outputs and resolutions have validity

A Transformation of SS into a Novel Solution via Info Theory Approaches

A transformation into a novel solution using info theory to help illustrate low mutual information between subsets

AI-Assisted Innovations on the Set of All Sets and the Continuum Hypothesis

This paper represents a human-AI collaboration to produce a self-referential logic and meta-mathematics. Proofs and formal arguments are presented on the following within naïve set theory: (1) resolution of Russell’s Paradox; (2) resolution of Cantor’s Paradox; (3) resolution of the Burali-Forti Paradox; (4) creation of the set of all sets (SOAS) and a self-referential, self-ordinalizing set of all ordinals (SOAS); and (5) bijection of the SOAS and SOAO. Additionally, within such a SOAS-SOAO, proofs and formal arguments are presented for the following: (6) bijection of ordinals and cardinals; (7) the well-ordering of the reals without the Axiom of Choice; (8) construction of the uncountable ordinals; (9) derivation of the natural numbers; (10) proof of Peano Arithmetic; (11) proof that the Continuum Hypothesis and Generalized Continuum Hypothesis are true; (12) proof of the consistency of Gödel’s Universe L and the SOAS-SOAO; (13) proof of a constructivist version of the Axiom of Choice; (14) resolution of the Banach-Tarski Paradox; (15) resolution of Vitali sets; (16) resolution of the Hausdorff Paradox; (17) resolution of Tarski’s circle-squaring problem; (18) resolution of non-measurable functions; (19) proof of the Jordan Curve Theorem; (20) proof of the Brouwer Fixed Point Theorem; and (21) proof of the Borsuk-Ulam Theorem. There is also discussion about (a) the idea that V implies or can derive L, and (b) the SOAS-SOAO’s consistency with regards to large cardinals, transfinite cardinal arithmetic, and Grothendieck universes, given SOAS-SOAO’s consistency with Gödel’s L. The findings above are all consistent with naïve set theory, classical logic, and each other. The main enabling factor for the findings above is the resolution of self-referential logics via replacement of unary negation with cardinality logic at both the propositional logic level and in meta-logical syntactic architecture. The work is part of a much larger series of AI-assisted findings in self-referential logic and mathematics. The entire paper is LLM readable