Neeru Adlakha's research while affiliated with C.K. Pithawalla College Of Engineering & Technology and other places

... The interdependent effect of calcium and buffer dynamics was also examined. Kothiya et al. [35][36][37][38] studied the system dynamics of calcium in a fibroblast cell. Vaishali et al. [39,40] studied calcium dynamics in pancreatic β cells. ...

... Kothiya et al. [35][36][37][38] studied the system dynamics of calcium in a fibroblast cell. Vaishali et al. [39,40] studied calcium dynamics in pancreatic β cells. ...

... Pawar and Pardasani [53] studied fractional-order interdependent nonlinear chaotic spatiotemporal calcium and -amyloid (A ) dynamics in neuron cells. The fractional-order reaction-diffusion model of calcium regulating NFAT production in T lymphocytes was developed by Bhardwaj and Adlakha [54]. Pawar and Pardasani [55] focused on a fractionalorder reaction-diffusion model to investigate the dysregulatory impacts of superdiffusion and memory on neuronal calcium and IP 3 dynamics. ...

... Kotwani et al. [7,12,13]; Hemant et al. [14,15]; Naik et al. [8,[16][17][18][19][20][21][22]; Pathak et al. [10,23] and Jha et al. [24,25] studied calcium distribution involving various parameters such as excess buffer, RyR, voltage-gated calcium channels, etc. for fibroblasts, lymphocytes, oocytes, myocytes, and astrocytes, respectively. Panday et al. [9,26] devised a model for Ca 2+ dynamics in oocytes that took into account Ca 2+ advection within the cell. ...

... The significance of the interdependence of the Ca 2+ and IP 3 mechanisms in the regulation of nitric oxide and −amyloid in neurons was studied by Pawar and Pardasani [43,44]. The two-way feedback model between Ca 2+ and IP 3 kinetics on nitric oxide regulation in fibroblasts with fibrotic disorders is studied by Kothiya and Adlakha [45]. ...

... Kotwani et al. [7,12,13]; Hemant et al. [14,15]; Naik et al. [8,[16][17][18][19][20][21][22]; Pathak et al. [10,23] and Jha et al. [24,25] studied calcium distribution involving various parameters such as excess buffer, RyR, voltage-gated calcium channels, etc. for fibroblasts, lymphocytes, oocytes, myocytes, and astrocytes, respectively. Panday et al. [9,26] devised a model for Ca 2+ dynamics in oocytes that took into account Ca 2+ advection within the cell. ...

... The heat equation findings with and without the source term are thoroughly contrasted, and it is discovered that the temperature distribution of the 1D steady-state heat equation with the source term is parabolic, while the temperature distribution without the source term is linear. This research, Makrariya et al. [50], presents a thermal investigation of the three-dimensional spatial temperature of the female breast at various phases of development. They also included several bio-physical processes such as metabolic heat production, blood mass flow rate, and thermal conduction in the proposed model and observed experimental results at varied ambient temperatures. ...

... Furthermore, Kumari et al. 13 proposed a FEM model to assess the thermal stress experienced by the outer regions of human limbs during periods of both exercise and rest. Their research also involved the creation of numerical models to investigate temperature distribution in the external regions of the human body before, during, and after exercise, as evidenced by their work spanning references [13][14][15] . Additionally, they pioneered the development of two-dimensional 16 and three-dimensional 14 models to quantify the temperature distribution within the external layers of human limbs immediately following physical exercise. ...

... Kotwani et al. [7,12,13]; Hemant et al. [14,15]; Naik et al. [8,[16][17][18][19][20][21][22]; Pathak et al. [10,23] and Jha et al. [24,25] studied calcium distribution involving various parameters such as excess buffer, RyR, voltage-gated calcium channels, etc. for fibroblasts, lymphocytes, oocytes, myocytes, and astrocytes, respectively. Panday et al. [9,26] devised a model for Ca 2+ dynamics in oocytes that took into account Ca 2+ advection within the cell. ...

... where ρ, c, k are the density, specific heat and thermal conductivity of tissue respectively, T b is arterial blood temperature, t is time, c b is the specific heat of blood, w is the perfusion rate per unit volume of the blood, Q m is the metabolic heat generation per unit volume. The most recent work using an explicit form of finite difference method for estimating the temperature variation in human dermal regions has been studied by Khanday and Fida (Khanday & Fida (2015)) and the temperature variation in the human body along with tumour conditions have been studied recently (Babita & Neeru (2018), Kamangar et al. (2019), Khalid et al. (2017)). However, due to the complex vascular structure in particular and whole body in general,always paves a way for the researchers to improve the existing theoretical models for better understanding and for accurate clinical results. ...