On strong orthogonality and strictly convex normed linear spaces

We introduce the notion of strongly orthogonal set relative to an element in the sense of Birkhoff-James in a normed linear space to find a necessary and sufficient condition for an element $x$ of the unit sphere $S_{X}$ to be an exposed point of the unit ball $B_X .$ We then prove that a normed linear space is strictly convex iff for each element x of the unit sphere there exists a bounded linear operator A on X which attains its norm only at the points of the form $\lambda x$ with $\lambda \in S_{K}$

Evaluation and comparison of analgesic activity of essential oil of Rosmarinus officinalis and Thymus vulgaris: an experimental study

Background: Since the time of stone age herbs in its natural forms are used for a variety of medicinal purposes including the treatment of pain. Research in herbal medicine is in a relatively early phase. Herbal approaches usually have been pursued because of the perception that these therapies are gentler and cause fewer side effects than allopathic treatment. The aim was to evaluate and compare the analgesic activity of essential oil of Rosmarinus officinalis and Thymus vulgaris in wistar rats.Methods: Wistar rats and hot plate method was used for this study. Control group (Group A) of 6 animals was given normal saline. Group B of 6 animals was given standard analgesic drug, aspirin (200mg/kg body weight). Group C of 6 rats was given REO at 100, 200, 300 and 400 mg/kg body weight on day 1, 2, 3 and 4 while Group D of 6 animals was given TEO at doses of 100, 200 and 300 mg/kg body wt. The analgesic activity of REO and TEO in terms of Response Time were noted and depicted in tabular form.Results: Results were analyzed by one-way-Anova and Tukey tests. Analgesic effect of Rosemary oil found to be statistically significant at all four doses, 100, 200, 300 and 400mg/kg body wt compared to control group. TEO was found significantly analgesic at 100 and 200mg/kg body wt compared to control group but at 300mg/kg body it was found lethal. REO was found superior.Conclusions: Analgesic effect of REO and TEO was not comparable to aspirin even at higher concentration like 400mg/kg (REO) but it was significantly more compare to control group

Efficacy of Withania somnifera on lipid profile of endosulfan induced toxicity in Swiss albino mice

India is an agrarian country with crops cultivated at a huge scale. Pesticides in recent times have caused serious health hazards in the population which are widely used by the farmers for the better yield of crops. Endosulfan is an organochlorine pesticide, which is widely used by the farmers. But, in the present times, it has caused serious health hazards in the exposed population causing various diseases, including cancer. Hence, the present study on animal aims to observe the protective effect of Withania somnifera against endosulfan induced toxicity in Swiss albino mice. Endosulfan at the dose of 3mg/Kg body weight per day was administered orally to Swiss albino mice for 4 weeks. Then after, W. somnifera at the dose of 1000 mg/Kg b.w. was orally administered for 4 weeks. Mice were sacrificed after the completion of the entire treatment. After dissection, the blood samples were collected for biochemical assay, especially for lipid profile analysis. The lipid profile study showed inclination in the Total cholesterol level (117±6.686 mg/dl), Cholesterol (LDL) (78.83±4.151mg/dl), level and Triglycerides level (60.83±2.613mg/dl), while declination in Cholesterol (HDL) (13.50±1.33mg/dl), level after Endosulfan exposure. But, upon W. somnifera treatment to the endosulfan treated group showed significant (p<0.001) normalisation in the lipid profile levels. Therefore, it was concluded that W. somnifera played a vital role to control the endosulfan induced toxicity

Design and Fabrication of Project on Power Generation using Rollers on Busy Highway

This paper presents design and fabrication of a project on power generation using rollers on busy highway. The exploratory set up has been manufactured to use vitality lost at speed breaker by vehicle .We have ascertained vitality lost by vehicle at speed 10 km\hr, 12km\hr, 15km\hr and we use the vitality lost, with the productivity of 0.4%, 0.45% ,0.48% separately. It has been presumed that speed is specifically corresponding to Electrical vitality delivered

Adenocarcinoma of sweat gland: case report and review of literature

Sweat gland carcinoma is a rare malignant tumour, first described in 1865, with approximately 220 cases reported in last 30 years. Lower limbs are the most common site of involvement, followed by the upper extremities, and the head. Trunk is rarely involved. Five histological types have been described, most common being porocarcinomas followed by ductal carcinomas, adenoid cystic carcinomas, syringomatous carcinomas and mucinous carcinomas. These are aggressive tumours with potential for distant metastasis. Wide surgical excision is the treatment of choice and the overall prognosis is poor. Here we report another case of sweat gland adenocarcinoma with no evidence of metastasis.

Paradigm Shifts in Geographical Research and Geospatial Applications

Geography enlightened a vast area of social sciences. It consists earth’s land and ocean surface, different landforms and their formation, evolution, sub-surface phenomena, atmosphere and related activities, environment and its attributes, environment as a habitat of living elements as well as a human being and their reciprocal relationships in a very critical and analytical approach.  From the inception of geography as a separate discipline, it evolved through its versatile, comprehensive and holistic nature. Alteration and modification change its nature through space and time. And accordingly, the established paradigm always changed depending on the demand of the geographers. This paper highlighted specifically the paradigm shift in geographical research with special reference to geospatial applications. Geography has two basic aspects,  Pure and  Applied. Recent trend shows that most of the geographical research is focused on the applied field rather than the pure aspects of the subject itself. The most interesting fact is that the applied research is basically depends upon the Geospatial technology. A distinct paradigm shifts have been taking place in both the Geographical Research and the Geospatial Technology through Digitalization.  The large growing population of the world require a logical and scientific shift in both pure and applied research in the domain of geography. Particular mention may be made in the fields of Geography such as geomorphology, population geography, urban geography, rural development and environmental geography. This paper also highlights the major paradigmn shifts in the behavioural geography, systematic geography, regional geography, medical geography, geospatial sustainability and cartography from paper map to digital map. It is now established  that no discipline can survive without adopting a new strategy and technology

Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks

Lithium-ion batteries are widely used in various applications, including electric vehicles and renewable energy storage. The prediction of the remaining useful life (RUL) of batteries is crucial for ensuring reliable and efficient operation, as well as reducing maintenance costs. However, determining the life cycle of batteries in real-world scenarios is challenging, and existing methods have limitations in predicting the number of cycles iteratively. In addition, existing works often oversimplify the datasets, neglecting important features of the batteries such as temperature, internal resistance, and material type. To address these limitations, this paper proposes a two-stage remaining useful life prediction scheme for Lithium-ion batteries using a spatio-temporal multimodal attention network (ST-MAN). The proposed model is designed to iteratively predict the number of cycles required for the battery to reach the end of its useful life, based on available data. The proposed ST-MAN is to capture the complex spatio-temporal dependencies in the battery data, including the features that are often neglected in existing works. Experimental results demonstrate that the proposed ST-MAN model outperforms existing CNN and LSTM-based methods, achieving state-of-the-art performance in predicting the remaining useful life of Li-ion batteries. The proposed method has the potential to improve the reliability and efficiency of battery operations and is applicable in various industries, including automotive and renewable energy