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This work presents a home based automated temporary treatment for patient healthcare to be made easier. Varicose veins are veins that are twisted and bulging. Varicose veins can form near the surface of the skin (superficial veins). Varicose veins most commonly affect the veins in the legs. The proposed system consists of a wearable device with vibrating motors connected to an ESP32. Here pressure sensors are used to measure variation of blood pressure in the upper and lower region of the body and if the reading of pressure is higher in the lower region compared to the upper region, then it will activate the motor to give in the exercise to subtle pain and the block of blood in the nerves. This exercise is also given in a periodic time interval without waiting until pressure variation is observed. These automated stockings will also behave as a normal compression stocking when vibration is not applied. In simple words the new designed stocking can perform in 3 ways. The signal acquired from the pressure sensor is processed by ESP32. This in turn activates the motor(to provide periodic vibrations). Patients will be able to receive rapid temporary therapy if this rehabilitation system is implemented.

In recent years, research into and concern over algorithmic fairness and bias in machine learning systems has grown significantly. It is vital to make sure that these systems are fair, impartial, and do not support discrimination or social injustices since machine learning algorithms are becoming more and more prevalent in decision-making processes across a variety of disciplines. This abstract gives a general explanation of the idea of algorithmic fairness, the difficulties posed by bias in machine learning systems, and different solutions to these problems. Algorithmic bias and fairness in machine learning systems are crucial issues in this regard that demand the attention of academics, practitioners, and policymakers. Building fair and unbiased machine learning systems that uphold equality and prevent discrimination requires addressing biases in training data, creating fairness-aware algorithms, encouraging transparency and interpretability, and encouraging diversity and inclusivity.

There is a growing emphasis on research across disciplines, and higher educational institutions' research productivity (RP) is a matter of serious consideration. However, a knowledge gap exists in RP in social science disciplines in India. In this context, the present study aimed to (1) understand the RP of social work and psychology schools at publicly funded central universities (CU) in India, (2) evaluate the RP and research impacts of faculty members in these schools, and (3) identify the publishing trends and patterns in social work and psychology disciplines. Using the Scopus database, we collected bibliometric information on publications of 19 social work and 16 psychology schools and their faculty members. The results indicate that schools' research productivity remained unpromising, constituting many faculty members (Social work 51.08%; Psychology 43.4%) with no publications. Although the average RP of social work (M= 16.0, SD = 17.40) and psychology (M= 45.63, SSD = 61.08) schools differed, the difference was not statistically significant (t = 1.88, p = .078). An increase in the publication was evident after 2016, indicating positive-policy impacts. A difference in RP across professional ranks was evident for social work (p\.05) but not for psychology (p>.05). For research impact, a difference existed based on ranks for academicians from psychology only (p\.05). Publications in high-impact journals and an output of international collaborations remained low in both disciplines. Implications point to developing appropriate workshops and training to provide hands-on experience to improve quality research among academicians. Further policy changes are also essential to enhance research culture and productivity. [ABSTRACT FROM AUTHOR]

Background: Copper (Cu), an essential trace element, is toxic if consumed in excessive amounts. Ruminants, particularly sheep, are highly susceptible to chronic copper poisoning and cause acute death. Spontaneous copper poisoning in sheep was reported from many parts of the world however limited reports are available from India. Hence the present investigation was undertaken to report the occurrence of chronic copper poisoning in an intensively maintained Pattanam breed of sheep flock and its therapeutic management. Methods: An investigation was carried out to ascertain the possible cause of increased mortality in an intensively maintained 130 male lambs aged between 8 to 10 month old belongs to Pattanam breed during the month of September 2020 following death of 21 animals within a period of 15 days. Affected flock was inspected and samples were collected for biochemical analysis, toxicological, bacteriological and pathological examination. Result: Affected animals showed depression, anorexia, jaundice, hemoglobinurea and accelerated breathing. At necropsy, the dead animals showed generalized icterus, lung edema, yellow to orange coloured liver and gun metal kidney. Histopathological lesions include lung edema, centrilobular hepatic necrosis, bile stasis, renal tubular necrosis and formation of tubular cast. Toxicological analysis of liver revealed the copper level of 781 mg/kg dry matter basis. Source of copper was identified as a commercial mineral mixture supplement intended for cattle was supplemented along with concentrate feed. The flock was treated with chelating agent (D-penicllamine) and supportive therapies. [ABSTRACT FROM AUTHOR]