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Coal is the cheapest source of energy. It is much cheaper than nuclear and petroleum. However, spontaneous combustion is inherent in coal seams that lead to fires at their place of storage. Therefore, early detection is required to ensure safety. This article aims to develop an intelligent system for the classification of coal seams based on their spontaneous heating on the Internet of Things (IoT) paradigm. It utilizes an artificial intelligence (AI) approach by utilizing a two-stage neural network architecture to render an accurate and robust categorization of coal samples. Three commonly available proximate analysis parameters of the coal samples have been used as input to this system. These inherent parameters are found to be sufficient to classify coal samples into different categories according to their combustion susceptibility. Three publicly available datasets are involved in the assessment purpose. Our proposed method has outperformed previous approaches. The coal seams classification results agree with the real field experiences. [ABSTRACT FROM AUTHOR]

To determine the relationship of dual-task-dynamic-balance with the risk-of-fall and gait-parameters in fallers and non-fallers elderly. After signing written informed consent, participants were assessed for dual-task-dynamic-balance [dual timed up and go (TUG) test (DTT)+ cognitive stops (CS) and DTT + CS + cognitive errors (CE)], risk-of-fall [berg balance scale], and gait-parameters [footprint method of gait analysis]. A significant difference was found between fallers and non-fallers for the variables falls in the previous 12 months, mini-mental state examination (MMSE), DTT + CS + CE, and walking speed. A significant moderate to strong negative correlation was found between dual task dynamic balance (DTT + CS and DTT + CS + CE), risk-of-fall and few gait-parameters in elderly fallers. The study emphasizes the importance of maintaining dynamic-balance and performing dual-tasks to prevent falls in elderly individuals, suggesting that interventions targeting both cognitive and motor aspects can be beneficial in reducing fall-risk. [ABSTRACT FROM AUTHOR]

A modified delta winglet vortex generator is designed and developed for the enhancement of heat transfer of a channel flow in a wind tunnel to prevent damage due to overheating of equipments. The modified delta winglet used in this study provided efficient control and early cooling mechanism over the conventional delta winglet which is generally used in various sectors such as aerodynamics, automobiles, electronics, and mechanics. The modified delta winglet was studied at 9000 Reynolds number for four different positions such as common flow down at downstream, common flow up at downstream, common flow down at upstream, and common flow up at upstream. The experimental results analysis depicts the highest Nusselt numbers and Colburn's factor at a configuration of CFDU. The results showed an improvement in the overall rate of heat transfer which was further analysed by the convection heat transfer coefficient value. Abbreviations: CFU: Common flow up; CFD: Common flow down; CFUU: Common flow up configuration at upstream; CFUD: Common flow up configuration at downstream; CFDU: Common flow down configuration at upstream; CFDD: Common flow down configuration at downstream; MDWCH: Modified delta winglet vortex generator; DWCH: Delta winglet with a circular hole; L: Channel flow length; W: Channel flow width; t: Channel flow thickness; Fp: Channel pitch; x: Longitudinal vortex generator position; y: Transverse vortex generator position; α: DWCH attack angle; Lg: DWCH length; Hg: DWCH height; Hd: DWCH Diagonal; tg: DWCH thickness; d: Hole diameter [ABSTRACT FROM AUTHOR]

Aims: To determine the effect of functional strength training (FST) and strength training (ST) on sit-to-stand (STS) performance and functional-autonomy (FA) in older adults. Methods: A total of 30 subjects participated in the study, which were randomly allocated to two groups--ST group (control N = 15) and FST group (experimental N = 15) with pre and post experimental design. Outcome Measures: Time taken for STS performance which was assessed by 5 time STS test and FA which was assessed by Latin American Development Group for Maturity (GDLAM) protocol. Results: Both FST and ST significantly improved STS performance and FA in older adults (p = 0.001), but FST was found to be more effective tool on STS performance and FA for older adults in between group analysis. Conclusion: Our results provide evidence that FST is more beneficial for older adults than ST. This helps in early rehabilitation of the patient. [ABSTRACT FROM AUTHOR]

The ecological aspects such as environmental factors, socioeconomic constraints and demographic parameters are one of the key aspects to examine the health benefits of human subject and used as ready reference in eco system modeling. Presently, there are various kinds of deadly diseases and disorders who are liable for affecting the human health and impacting the eco framework of whole world. The virus such as Corona, Swine Flu, omicron and others are one of the best examples for the research community to understand the vulnerability of human health in relation to these unpredictable causes. As per report of world health organization every year, more than 10 million people are affected by such ecological and environmental disbalance. The burden of ecological aspects apparently affecting the working of various organs in human subject. There is a need to understand this ecological model in relation to health of human subjects. In this study, a cohort-based data set of ecological pollutants and physiological signals such as ECG and anthropogenic data of human subjects were extracted from Maharashtra from 2015 to 2021. As per neural network-based hazard ratio was calculated and observed to be deplorable among unhealthy and health categories of human subjects. It has been concluded that the accumulative eco system is responsible for overburden to organs of living beings and policy makers must focus on the facts of study for modern management framework designs. [ABSTRACT FROM AUTHOR]

Purpose: To report the outcomes of a survey on patients' concerns and satisfaction with custom ocular prosthesis (COP) wear and compare with objective clinician grading scales. Methods: The questionnaire was answered by 156 participants. General social concerns and prosthesis-related concerns were plotted on a scale of 0 to 10, indicating least to maximum satisfaction and also not concerned to very concerned. Comparison between subjective patient and objective clinician scores was done. Results: The mean age at presentation was 27.53 ± 15.53 years (range 3–72 years).For patients that underwent a prior surgical procedure, mean satisfaction with the surgery was 9.42 ± 1.27. Mean satisfaction with the COP was 8.98 ± 1.75. The median satisfaction score for the primary surgery as well as for the outcome of the custom ocular prosthesis was 10. Commonest prosthesis-related concerns were reduced motility (mean 3 ± 2, median 3), watering, crusting and discharge (mean 2 ± 2, median 2), and difference in the size of the prosthetic eye relative to the other eye (mean 1 ± 2, median 1). Subjective patient concern responses and the objective clinician grading correlated strongly for movement of the prosthesis (r = –0.84, p <.0001), periocular fullness (r = 0.65, p <.0001), color of the prosthesis (r = –0.8, p <.0001) and size relative to the other eye (r = 0.7, p <.0001). Conclusion: Custom ocular prosthesis usage had a high satisfaction score with minimal concerns. Commonest prosthesis-related concerns correlated strongly with objective clinician grading. [ABSTRACT FROM AUTHOR]

Conventional modeling approach such as regression has not much ability to incorporate nonlinearity of environmental covariates during different categories of estimations. Nonlinear information is considered as outliers in prediction while fitting in the regression models. The ANN models are robust due to adaptive neuro computing to consider these kinds of parameters in the scaling and instrumentation process due to gradient neural weight training mechanism. Raised level of ambient particulate matter having size PM10 and PM2.5 is a serious matter of concern for children having age group 8 to 14 years. A study has been conducted in North West side of Asia continent for three years (2013 to 2016) where sampling was done to measure ambient PM level, physiological parameters of 600 children and covariate data. A hybrid recurrent neural network (HRNN) has been developed for exposure assessment with the help of Gamma Test. Based on Root Mean Square Error and Mean Absolute Percentage Error scale, the trends in physiological parameters were estimated. The developed model strategy, will help research community and policy-makers to feed time series data in the model for spatiotemporal analysis rather than conventional statistical methods. [ABSTRACT FROM AUTHOR]

Forced vital capacity (FVC) of children in the age group 10–12 years are reported as a function of quantum increase in PM2.5 level in ambient air. The data are reported for the children in the categories based on their respective body mass index (BMI). FVC (% predicted) values decreased with increasing level of PM2.5. The subjects are found to respond in a selective manner as plateau was observed for FVC values against some selected ranges of PM2.5 concentration levels (74 µgm−3 to >117 µgm−3). To explain this unusual behavior, sac theory is proposed which explains the observations of FVC for subjects of all categories with different BMI values. [ABSTRACT FROM AUTHOR]

Agriculture crop residue burning is a serious issue in Northern India due to ineffective control policies. An epidemiological study has been done on school going children to evaluate the trends in their physiological parameters due to crop residue burning activity in the affected area. Total 600 children were recruited and continuously inspected for three years at three different sites. Season wise, the level of fine particulate matter (PM10 and PM2.5) was higher in rice crop residue burning seasons than in wheat crop residue burning seasons. As per dose–response relationship, maximum degradation was observed in FVC (−7.62%) and PEF (−6.23%) parameters from their baseline values due to burning activities. With adjustment of socioeconomic, anthropometric parameters of selected subjects and meteorological parameters in multivariate mixed effect model, prediction equations have been purposed to observe the future trends in physiological parameters of children. Based on Tiffenue index, an unrecoverable effect has been observed in lung parameters. Trends were alarming and may cause serious complications in early age of human subjects. [ABSTRACT FROM AUTHOR]

AbstractObjectivesMethodsResultsConclusionTo determine the Effect of pulmonary rehabilitation on functional status dyspnea and quality of life among post-COVID-19 patients.The study utilized an experimental study design with a total of 120 participants to examine the effects of pulmonary rehabilitation. The participants were divided into two groups: Group A (experimental group) and Group B (control group). Demographic variables such as age, weight, and height were collected. Health-related quality of life (HRQL), post-COVID-19 functional status, and perceived exertion were assessed before and after the intervention.Group A demonstrated a higher mean age than Group B, indicating a significant age difference between the two groups, with no significant difference observed in weight and height. Following the intervention, Group A exhibited significant improvement in HRQL, post-COVID-19 functional status, and perceived exertion compared to Group B.Pulmonary rehabilitation had positive effects on health-related quality of life, post-COVID-19 functional status, and perceived exertion. The experimental group benefited from improved HRQL, suggesting an overall enhancement in their well-being. The study provides preliminary evidence supporting the effectiveness of pulmonary rehabilitation as an intervention for improving outcomes in individuals post-COVID-19. [ABSTRACT FROM AUTHOR]

The use of direct-acting oral anticoagulants (DOACs) has increased rapidly in the last decade; becoming the mainstay for both the prophylaxis and the treatment of venous thromboembolism in various situations including non-valvular atrial fibrillation, joint replacement surgeries and acute DVT/PE, etc. In the present times, DOACs are possibly one of the most widely prescribed medications in the developed world. The worldwide epidemic caused by COVID-19 caused significant changes in the practice of medicine worldwide. Patients who developed severe respiratory illness caused by COVID-19 were noted to develop a wide range of complications, including both arterial and venous thromboembolic complications including deep vein thrombosis and pulmonary embolism, etc. This review is an attempt to identify the role of DOACs in the treatment and prevention of these complications as well as the safety of continuing therapy with DOACs in the patients who were receiving them before contracting the infection. [ABSTRACT FROM AUTHOR]

Studies were taken up on 25 mm thick samples ofTectona grandisto understand its drying behavior under vacuum press drying. Five different vacuum level–temperature combinations were used in the study to observe the moisture reductions achieved. The results were analyzed to understand which combination gave maximum moisture content reduction from two moisture content ranges: one above and the other below the fiber saturation point of the species. It was found that the samples could be dried to less than 13% moisture content levels from about 25% moisture content levels effectively in just two runs approximately lasting 7 h each. More interestingly, the moisture removal by this method was found more effective when samples were seasoned from initial moisture content levels below the fiber saturation point. This study will pave way for developing schedules forT. grandisfor faster and degrade-free seasoning. [ABSTRACT FROM AUTHOR]

Background. Phenol (carbolic acid, a higher alcohol) has been used for local analgesic therapy for a long time. Several complications of phenol therapy can occur by exposure through inhalational, oral, and dermal routes. Renal and pulmonary toxicity arising from the exposure to injectable phenol, however, has only been reported in a few case reports. Case Presentation. A 50-year-old man inadvertently received 10 cc of 89% phenol injection. It resulted in the development of acute respiratory and renal failure requiring intubation and hemodialysis, respectively. He improved clinically with the recovery of renal function. However, the chest x-ray and CT scan showed persistent nodular pulmonary infiltrates which resolved by six months. Conclusion. We report here an unusual case of acute respiratory and acute renal failure following accidental overdose of phenol. The case highlights potential development of multiple organ failure with persistence of organ dysfunction, an unusual danger associated with the overdose of injectable phenol for neurolysis. [ABSTRACT FROM AUTHOR]

Conventional random-coefficients models of conditional brand choice using panel data ignore the dependence of the random-coefficients distribution on the purchase frequencies. We show that this leads to biased estimates and propose a conditional likelihood approach to obtain unbiased estimates. Unlike alternative approaches that require observation of "no-purchase" occasions, our proposed method relies only on purchase data. Furthermore, our approach does not require that the researcher specify the distribution of purchase frequencies. As a result, estimates of the brand-choice model are unaffected by misspecification of the model of purchase frequencies. We demonstrate the performance of the proposed approach in simulated data and in scanner data. We find that results differ substantively from the conventional latent-class model in terms of segment membership probabilities, segment characteristics, and price elasticities. [ABSTRACT FROM AUTHOR]

An analysis have been made regarding the worse scenario between a dependent variable which is measured as a continuous variable, even though you know this is potentially an unreliable and invalid measure of your focal construct, but a continuous scale enables the use of more powerful parametric modeling techniques; and the construct measured more cautiously, resulting in the DV only available as categorical data, and thus nonparametric modeling approaches are required. Ultimately the reliability and validity of the data, and the analysis conducted, are the most important issues. A very simple measure is used to construct a research, because the pilot of a more complex tool indicated that certain social classes were overestimating their consumption. Hence, the data were categorical. To model the variable, the author used log-linear analysis to define underlying relations between categorical variables and then logistic regression and discriminant analysis to develop and confirm the models.

Hematopoietic stem cell transplant has been used in the treatment of multiple myeloma. Its use in the treatment of POEMS syndrome is still under investigation. We describe the clinical course and long term follow-up of a patient with POEMS syndrome unresponsive to standard chemotherapy. The patient had rapid and dramatic improvement in neuropathy and dermatologic features after autologous stem cell transplantation. A review of the literature is also presented. High-dose chemotherapy followed by stem cell transplantation is a potential treatment option for patients with POEMS syndrome. [ABSTRACT FROM AUTHOR]