Post COVID sequelae among COVID-19 survivors: insights from the Indian National Clinical Registry for COVID-19.

Introduction: The effects of COVID-19 infection persist beyond the active phase. Comprehensive description and analysis of the post COVID sequelae in various population groups are critical to minimise the long-term morbidity and mortality associated with COVID-19. This analysis was conducted with an objective to estimate the frequency of post COVID sequelae and subsequently, design a framework for holistic management of post COVID morbidities.

Constructing regions of attainable sizes and achieving target size distribution in a batch cooling sonocrystallization process.

The application of ultrasound to a crystallization process has several interesting benefits. The temperature of the crystallizer increases during ultrasonication and this makes it difficult for the temperature controller of the crystallizer to track a set temperature trajectory precisely. It is thus necessary to model this temperature rise and the temperature-trajectory tracking ability of the crystallizer controller to perform model-based dynamic optimization for a given cooling sonocrystallization set-up.

Nucleation kinetics from metastable zone widths for sonocrystallization of l-phenylalanine.

This study investigates the effect of ultrasound on metastable zone width (MSZW) during crystallization of l-phenylalanine from aqueous solution. The solubility of l-phenylalanine in water was measured gravimetrically in the temperature range of 293.15-333.

In silico analysis of bioethanol overproduction by genetically modified microorganisms in coculture fermentation.

Lignocellulosic biomass is an attractive sustainable carbon source for fermentative production of bioethanol. In this context, use of microbial consortia consisting of substrate-selective microbes is advantageous as it eliminates the negative impacts of glucose catabolite repression. In this study, a detailed in silico analysis of bioethanol production from glucose-xylose mixtures of various compositions by coculture fermentation of xylose-selective Escherichia coli strain ZSC113 and glucose-selective wild-type Saccharomyces cerevisiae is presented.

Probing the bioethanol production potential of Scheffersomyces (Pichia) stipitis using validated genome-scale model.

A detailed in silico analysis of different strategies for enhancement of bioethanol production by Scheffersomyces stipitis, = Pichia stipitis, using validated genome-scale metabolic model is presented. Glucose inhibition on xylose uptake is dominant in S. stipitis which makes fed-batch fermentation more effective for higher sugar concentrations.

Electrically controlled eight-spin-qubit entangled-state generation in a molecular break junction.

The generation of spin-based multi-qubit entangled states in the presence of an electric field is one of the most challenging tasks in current quantum-computing research. Such examples are still elusive. By using non-equilibrium Green's function-based quantum-transport calculations in combination with non-collinear spin density functional theory, we report that an eight-spin-qubit entangled state can be generated with the high-spin state of a dinuclear Fe(II) complex when the system is placed in a molecular break junction.

Dynamic flux balance analysis of batch fermentation: effect of genetic manipulations on ethanol production.

In silico optimization of bioethanol production from lignocellulosic biomasses is investigated by combining process systems engineering approach and systems biology approach. Lignocellulosic biomass is an attractive sustainable carbon source for fermentative production of bioethanol. For enhanced ethanol production, metabolic engineering of wild-type strains-that can metabolize both hexose and pentose sugars or microbial consortia consisting of substrate-selective microbes-may be advantageous.

Gastric adenocarcinoma associated with lymphangitis carcinomatosa, adrenal metastasis with ectopic ACTH syndrome and malignant common bile duct stricture.

Ectopic adrenocorticotrophic hormone (ACTH) syndrome (EAS) commonly occurs secondary to neuroendocrine tumours and small cell carcinoma of lung. EAS has also been reported in association with gastric carcinoids. But, the occurrence of EAS secondary to gastric adenocarcinoma has rarely been reported.

Malignant large cell calcifying sertoli cell tumor of testis with skip metastasis to lung presented with peutz-jeghers syndrome.

Large cell calcifying Sertoli cell tumor of the testis (LCCSCT) is a rare tumor that is usually benign and multifocal. It may be associated with hereditary endocrine anomalies such as Carney's and Peutz-Jeghers syndromes. It is a rare histological variant of sex cord stromal tumors.

Genetic algorithms with filters for optimal control problems in fed-batch bioreactors.

When using a genetic algorithm (GA) to solve optimal control problems that can arise in a fed-batch bioreactor, the most obvious direct approach is to rely on a finite dimensional discretization of the optimal control problem into a nonlinear programming problem. Usually only the control function is discretized, and the continuous control function is approximated by a series of piecewise constant functions. Even though the piecewise discretized controls that the GA produces for the optimal control problem may give good performances, the control policies often show very high activity and differ considerably from those obtained using a continuous optimization strategy.