Eastern Uttar Pradesh has a number of mills including large as well as small and ancillaries units because of availability of sufficient amount of sugarcane in this area. It has fertile plain which is highly suitable for cultivation of sugarcane, but many factors related to sugarcane cultivation as well as sugar mills have pushed the sugar industry to be agglomerated at some places which ultimately brought regional variation in distribution patterns and grouped in some clusters. This paper analyses the distribution pattern and clustering of sugar industry in eastern Uttar Pradesh. The study is based on primary as well as secondary data including number of industrial units, capital investment and involved employment. Out of total 30 working mills, 25 mills make clusters occupying eight districts, i.e., Kushinagar, Deoria, Gorakhpur, Mahrajganj and Bahraich, Balrampur, Gonda, Basti. These clusters are located in the Saryupar plain as well as Tarai region which show that sugar industry is exclusively developed in intensive sugarcane production areas.

Recently, modern power systems depend heavily on MicroGrids (MGs), which can accommodate Distributed Energy Resources (DERs) economically and with high flexibility. MGs integrated with DERs can assist in enhancing energy security, significant cost savings, and reduction in emission of greenhouse gases. In this paper, the assessment of operating performance of proposed MG system with DERs is employed to investigate the multi‐objective problems of cost optimization and economic scheduling. A grid‐connected Micro‐grid (MG) combined with solar photovoltaic (PV), wind turbine (WT), fuel cell (FC), and Battery Energy Storage System (BESS) is implemented to model the problem. This proposed model is considered as a test system for cost optimization and battery charging/discharging optimization. The developed framework is presented as multi‐objective function with constraints that can be tackled using an effective optimization technique. The above stochastic multi‐objective problem is optimized using various commonly used Physics based Meta‐heuristic techniques such as Simulated Annealing (SA), Harmony Search (HS), Slime Mold Algorithm (SMA), Gravitational Search Algorithm (GSA), Black Hole Optimization (BHO), Sine Cosine Algorithm (SCA), Multiverse optimization (MVO) and Lightning Search Algorithm (LSA). The assessment of the aforementioned physics‐based optimization techniques used on the proposed MG test system is compared using the results. According to the analysis, Black Hole Optimization (BHO) and Lightning Search Algorithm (LSA) both provide greater cost savings overall and for battery charging, respectively. The suggested optimization methods will take the BESS charging/discharging pattern and total cost savings into account.

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Chronic lower leg ulceration is a fairly common adult condition that causes pain and social distress. The condition affects 1% of adults and 3.6% of those over 65. Leg ulcers are painful and have a negative impact on the quality of life of patients. Arterial pathologies can cause arterial ulcers, but the one important cause is arterial obstruction. Atherosclerotic obstruction usually occurs in the iliac, femoropopliteal, and the distal branches (Peroneal and tibial arteries). The case was diagnosed using an arterial doppler of the right lower limb, which revealed an arterial block above the right common femoral artery at the aortic bifurcation, resulting in an ulcer. Vascular leg ulcers, venous ulcers, and diabetic ulcers were all ruled out as possibilities in this case. Silicea 0/1 to Silicea 0/4, 16 doses of each potency, twice a day, were given to the patient as constitutional homoeopathic medicine. The foot ulcer was completely healed after a one-month follow-up. This case study suggests homoeopathic treatment as a promising complementary or alternative therapy, emphasising the significance of repertorisation in individualised homoeopathic prescription.

The major thrust of the paper is on designing a fuzzy logic approach has been combined with a well-known robust technique discrete sliding mode control (DSMC) to develop a new strategy for discrete sliding mode fuzzy control (DSMFC) in direct current (DC-DC) converter. Proposed scheme requires human expertise in the design of the rule base and is inherently stable. It also overcomes the limitation of DSMC, which requires bounds of uncertainty to be known for development of a DSMC control law. The scheme is also applicable to higher order systems unlike model following fuzzy control, where formation of rule base becomes difficult with rise in number of error and error derivative inputs. In this paper the linearization of input-output performance is carried out by the DSMFC algorithm for boost converter. The DSMFC strategy minimizes the chattering problem faced by the DSMC. The simulated performance of a discrete sliding mode fuzzy controller is studied and the results are investigated.