Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems

A new technique for the measurement of the electrical resistivity of concrete

The measurement of electrical resistivity is quite important in the study of concrete properties, since it provides information on permeability and hence the durability and strength. In addition, the rate of transport of aggressive ions like chlorides and sulphates, which lead to corrosion of the reinforcing steel, is controlled by permeability. In this Paper a simple and elegant technique for measuring the electrical resistivity of concrete is described. The method consists in the application of a current pulse to the steel-concrete system immersed in an electrolyte, and measuring the amplitude of the potential step, either using an oscilloscope or a digital voltmeter through an interface circuit. Using this technique the variation of the resistivity of concrete has been measured as a function of the curing time. The resulting curve has been found to follow a hyperbolic expression; this is correlated with the curve of the variation of compressive strength with time

Association between components of metabolic syndrome and elevated intraocular pressure

Background: Glaucoma is a group of eye diseases which result in damage to the optic nerve and ultimately vision loss. Elevated intraocular pressure (IOP) remains as the one major known risk factor for both the development and progression of glaucoma. Metabolic syndrome (MS) have been found to relate to elevated IOP. The aim of the study is to examine the association between MS and IOP by comparing central corneal thicknesses (CCT).Methods: The study was carried out with 169 subjects consists of 94 were clinically diagnosed MS patients and 75 are healthy controls. Serum fasting glucose, triglyceride and HDL cholesterol levels were measured, and waist circumference, body mass index and blood pressure of all patients were recorded. Ophthalmological examinations, including IOP and CCT measurements were done on everyone.Results: Higher IOP was observed in subjects with MS than those without MS. There was significant difference in the CCT values between the groups with and without MS (p<0.05). Most of the MS components were associated with IOP and CCT (p<0.05).Conclusions: The study concludes that components of MS have strong association with IOP and CCT. The prevalence of MS is increasing rapidly in developing countries and the main cause for MS is sedentary lifestyle. Since there is relationship between MS and IOP, lifestyle intervention might have therapeutic potential to reduce IOP. Further studies are warranted to bring about the possible underlying relationship between components of MS and IOP

Data aggregation techniques in sensor networks: A survey

Wireless sensor networks consist of sensor nodes with sensing and communication capabilities. We focus on data aggregation problems in energy constrained sensor networks. The main goal of data aggregation algorithms is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. In this paper, we present a survey of data aggregation algorithms in wireless sensor networks. We compare and contrast different algorithms on the basis of performance measures such as lifetime, latency and data accuracy. We conclude with possible future research directions

An Evolutionary Multi-Objective Crowding Algorithm (EMOCA): Benchmark Test Function Results

A new evolutionary multi-objective crowding algorithm (EMOCA) is evaluated using nine benchmark multiobjective optimization problems, and shown to produce non-dominated solutions with significant diversity, outperforming state-of-the-art multi-objective evolutionary algorithms viz., Non-dominated Sorting Genetic Algorithm – II (NSGA-II), Strength Pareto Evolutionary algorithm II (SPEA-II) and Pareto Archived Evolution Strategy (PAES) on most of the test problems. The key new approach in EMOCA is to use a diversity-emphasizing probabilistic approach in determining whether an offspring individual is considered in the replacement selection phase, along with the use of a non-domination ranking scheme. This approach appears to provide a useful compromise between the two concerns of dominance and diversity in the evolving population

ASSOCIATION OF SERUM URIC ACID AND LIPID PROFILE IN TYPE 2 DIABETIC PATIENTS WITH AND WITHOUT DIABETIC RETINOPATHY

Objectives: Diabetic retinopathy (DR) is one of the microvascular complications in type 2 diabetes (T2D).  Elevated serum uric acid (SUA) has been shown to play a significant role in diabetic neuropathy and nephropathy but there is little information on retinopathy. Therefore, the present study was aimed to investigate the SUA and lipid profile in T2D patients with and without DR and the association between SUA and severity of DR.Methods: The study was conducted in the ophthalmology OPD at Sri Lakshmi Narayana Institute of Medical Sciences. The presence of T2D was confirmed by investigating fasting blood glucose level (normal limit &lt; 110 mg/dl) in all the individuals. DR was examined by detailed dilated fundoscopic examination. Based on the fundus examination, patients were divided in to diabetes with signs of DR and those without signs of DR. Age and sex matched healthy were taken as controls. Fasting blood sugar, SUA and lipid profile were investigated for these groups. Results: The study found elevated SUA and abnormal lipid profile in DR group when compared to non-DR and control groups. We also found the significant association between SUA and severity of DR particularly in males.Conclusion: We found a significant association between SUA and severity of DR in T2D patients. Further studies with large sample size are needed to establish the role of elevated SUA and the mechanism involved in the pathogenesis of retinopathy in diabetic patients. Regular measurements of SUA level could be advised to the diabetic patients for the early management

Psychological impact of COVID-19 and lock down measures: An online cross-sectional multicounty study on Asian university students

The COVID-19 pandemic and the lockdown measures have taken a toll on every level of the society, worldwide. This study examines their psychological impact on university students in Asia. A cross-sectional online survey was conducted between April and May 2020 in Malaysia, Saudi Arabia, Pakistan, Bangladesh, China, India and Indonesia. The Zung\u27s self-rating anxiety scale (SAS) and questions on adaptive and maladaptive coping strategies were used in this study. A total of 3,679 students from the seven countries participated in this study. Overall, 21.9% and 13.7% of the students in this study experienced mild to moderate and severe to extreme levels of anxiety. More than 20% of the students from China and Bangladesh reported severe to extreme level of anxiety compared to below 10% of the students from Indonesia, Malaysia and India. Among the female students, 15.9% experienced severe to extreme level of anxiety compared to 10.6% among the males. Females from Bangladesh, China, Malaysia, Pakistan and Saudi Arabia experienced significantly higher levels of anxiety compared to their male counterparts. Acceptance was the most used and Seeking Social Support was the least used coping strategies among the students. There were significant differences in the usage of the four strategies by countries. Stressors are predominantly financial constraints, remote online learning, and uncertainty related to their academic performance, and future career prospects